scholarly journals Implementation of arduino pro mini and ESP32 cam for temperature monitoring on automatic thermogun IoT-based

Author(s):  
P. W. Rusimamto ◽  
Endryansyah Endryansyah ◽  
L. Anifah ◽  
R. Harimurti ◽  
Y. Anistyasari

The purpose of this research is to monitor the temperature by applying arduino pro mini and ESP32 cam using IoT technology which is connected to a web interface. Arduino is used as the main brain of the system where arduino will read data from the MLX90614-ACF temperature sensor. Sensor data will continue to be sent to the server by arduino via the ESP32 cam module. This tool can also take pictures and send images automatically at the same time when measuring temperature. The captured image will automatically be sent to the PC/laptop monitor screen via the website. The website is used to display and monitor the results of temperature measurement data and display the image results from the ESP32 cam. The process of taking photos and measuring body temperature is done automatically. Users can also view data from sensors and photo data sent by arduino and ESP32 cam via the provided web interface. From the test results, this system has been running well where all sensor data is sent and can be displayed on the website. Images and measurement data results are sent to the monitor screen via the website interface with a measurement accuracy of 99.6%.

2021 ◽  
Vol 5 (3) ◽  
pp. 543-549
Author(s):  
Helmy Yudhistira Putra ◽  
Utomo Budiyanto

During the COVID-19 pandemic, the price of preventive equipment such as masks and hand sanitizers has increased significantly. Likewise, thermometers are experiencing an increase and scarcity, this tool is also sought after by many companies for screening employees and guests before entering the building to detect body temperatures that are suspected of being positive for COVID-19. The use of a thermometer operated by humans is very risky because dealing directly with people who could be ODP (People Under Monitoring/Suscpected ) or even positive for COVID-19, therefore we need tools for automatic body temperature screening and do not involve humans for the examination. This research uses the MLX-90614 body temperature sensor equipped with an ultrasonic support sensor to detect movement and measure the distance between the forehead and the temperature sensor so that the body heat measurement works optimally, and a 16x2 LCD to display the temperature measurement results. If the measured body temperature is more than 37.5 ° C degrees Celsius then the buzzer will turn on and the selenoid door lock will not open and will send a notification to the Telegram messaging application. The final result obtained is the formation of a prototype device for measuring body temperature automatically without the need to involve humans in measuring body temperature to control people who want to enter the building so as to reduce the risk of COVID-19 transmission


2011 ◽  
Vol 135-136 ◽  
pp. 1129-1133 ◽  
Author(s):  
Li Mei Dong

AT89S52 microcontroller was the center controler for wireless temperature measurement and alarm system, through temperature measurement circuit and remote wireless alarm circuit, realized the temperature detection and off-limit alarm of the ambient temperature. The system was composed of temperature acquisition circuit, display circuit and alarm circuit. Temperature sensor was DS18B20, real-time temperature displayed via LED displayer. Users can customize the alarm lower limit and superior limit. when the ambient temperature exceeds the alarm limit, the microcontroller will start the sound and light alarm, and remote wireless alarm. Temperature measurement range from -40 °C to +85 °C, measurement accuracy is 0.5 °C, wireless alarm distance is up to 100 meters. This system is of high precision, wide temperature measurement, and timely alarm.


2014 ◽  
Vol 986-987 ◽  
pp. 1704-1708
Author(s):  
Zheng Zhi Yu ◽  
Cheng Ge Wei ◽  
Zhi Gang Li ◽  
Shi Yang ◽  
Yu Du ◽  
...  

in view of the substation equipment temperature measuring work, the existence of low accuracy of temperature measurement, data real-time performance, large work volume on manual operation, the temperature of the wireless sensor monitoring technique, the 2.4 GHZ wireless network technology, build a wireless temperature monitoring system, substation equipment temperature and the temperature rise of accurate, reliable and real-time on-line monitoring. Real-time monitoring data, intuitive display are in tabular and graphical form. Have the equipment temperature measurement data, temperature change trend analysis, data query and management, over temperature alarm to remind, etc. Real-time temperature data can be convenient access to the substation set control center, to ensure safe and reliable operation of the transformer substation, for substation monitoring and maintenance of equipment operation to provide data support, effectively prevent substation equipment oxidation, burning and other accidents.


Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2320 ◽  
Author(s):  
Baoqiang Yan ◽  
Jian Li ◽  
Mingjiang Zhang ◽  
Jianzhong Zhang ◽  
Lijun Qiao ◽  
...  

The field of tunnel fire detection requires a Raman distributed temperature sensor (RDTS) with high-accuracy and visual localization. A novel temperature demodulation method to improve the temperature measurement accuracy of the RDTS systems is presented. This method is based on the optical dynamic difference compensation algorithm, which can eliminate the optical power fluctuation. In addition, the visual localization technology is presented by using the longitudinal lining model (LLM) of a three-dimensional (3D) temperature display, which enhances the engineering application of RDTS in tunnel fire detection. Experimental results indicate that the temperature measurement accuracy is optimized from 7.0 °C to 1.9 °C at the sensing distance of 18.27 km by using the presented method. We provide a solution for temperature field monitoring as well as fire visual localization of the tunnel through RDTS systems.


Author(s):  
Alvinas Deva Sih Illahi ◽  
Anatasya Bella ◽  
Sugondo Hadiyoso ◽  
Suci Aulia

Personal Protective Equipment (PPE) is standard equipment that required to ensure safety of workers. PPE equipment that used during work such as: Safety helmet, safety glass, and ear plug. PPE that being used by workers doesn’t informative yet, only serve as personal protective so evacuation prevention still looks difficult to do prior accident happened. In this research, Safety Helmet Project has been implemented with pulse sensor, temperature sensor, carbon monoxide gas sensor, and transmission media which able transmitting data to control and monitoring center. The system also supports multiuser monitoring applications that can be accessed simultaneously through the internet network. Based on test results, the comparison of measurement gap with standard tool has been obtained as temperature sensor is 0,07%, heart sensor is ± 4%. Accuracy level for temperature sensor and heart rate are 99,67% and 95,45% by various condition of test. Another test is delay of the transmitting sensor data to the website around ± 10 seconds and controlling around ± 5 seconds.


2014 ◽  
Vol 530-531 ◽  
pp. 146-150
Author(s):  
Fan Wei Meng ◽  
Qing Tian ◽  
You Liang Yang

Wavelength and other factors have a deep influence on temperature measurement system based on CCD image sensor. Deviations between measurement values sometimes are large. In order to reduce error, the temperature outputs in different wavelength combinations do have multi-sensor correlation properties in point of colorimetric temperature measurement system view. The colorimetric temperature measurement algorithm based on real-time adaptive weighted is put forward by such performance index that minimum of standard deviation. According to measured value of each sensor, we will find out the corresponding weights in adaptive manner. And discuss the statistical properties of the estimated standard deviation. Estimation unbiasedness is proved. The algorithm has the following advantages .A much smaller amount of calculation, without any a priori knowledge, only relying on the output of each sensor. All of these make temperature estimation be optimal, measurement accuracy and the real-time performance of the system are improved. Theoretical analysis and experimental results show that the colorimetric temperature measurement algorithm based on the real-time adaptive weighted improves obviously when comparing with the traditional means algorithm in measurement accuracy.


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