Wireless Temperature Measurement and Alarm Device Based on Single Bus Digital Temperature Sensor

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.

2010 ◽  
Vol 108-111 ◽  
pp. 898-902 ◽  
Author(s):  
Fen Ping Zhou ◽  
Hong Tao Ma ◽  
Bing Dong Sui ◽  
Jia Mo Sun

This Paper introduces a temperature detection system in beer fermentation. A temperature monitoring system with characteristics of bus topology structure is composed of industrial computer, temperature detector, bus converter, transmission bus and especially 1-wire digital temperature sensor DS18B20. Four-core cable is used to form a tree-like or star-like network, in which 54 digital temperature sensors existing on 18 fermentation tanks can be connected. The quantity of junction wires between temperature sensor and computer will be reduced greatly. Temperature detector provides power supply for bus converter and DS18B20 through Four-core cable. Because bus converter has used hardware fault detecting technology, the fault temperature sensor can automatically detach from the main bus and will not affect normal working of other sensor in network. So to solve the problem of a certain sensor or branch's damage causing the paralysis of entire bus. The length of detecting temperature bus can reach more than 500 meters. These all make system maintenance and expansion easy. The experiments show that this system is characterized by high intelligence, high-precision, capability of making temperature test on multi-points and compensating function. The method has a good applicable value to the temperature test.


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.


2013 ◽  
Vol 411-414 ◽  
pp. 1625-1630
Author(s):  
Si Yuan Ren ◽  
Shi Liu

A set of temperature measuring system hardware circuits is presented and investigated regarding to static errors. The measurement accuracy of the system can be up to 1%in the industrial applications. In addition, this paper proposes a recommending method to select hardware equipment and this approach plays an important role in temperature measurement in industrial applications.


2014 ◽  
Vol 543-547 ◽  
pp. 1266-1269 ◽  
Author(s):  
Kun Zhang ◽  
Wen Di Wang ◽  
Zhao Mei Qiu

This paper puts forward an idea of designing a surface acoustic wave (SAW) sensor to provide a research basis for subsequent researchers. We have made a SAW temperature sensor based on this idea. The experimental results demonstrated the feasibility of the idea, and shown that the frequency-temperature characteristic of the sensing unit is good and the temperature measurement accuracy of the testing unit is high.


2014 ◽  
Vol 1022 ◽  
pp. 139-142 ◽  
Author(s):  
Song Lin Huang ◽  
Jian Zhong Cui

Temperature measurement system is widely used in industrial monitoring, process control, intelligent home appliances and other fields. The traditional temperature detection method is to use the analog sensor, such as thermocouple or thermal resistance. This traditional temperature measurement system includes signal sampling circuit, amplifying circuit and A/D conversion circuit, which finally obtain the temperature digital signal. This kind of complex circuit leads to the weak anti-interference ability, which affects the reliability of the system. In this paper, a new design of digital temperature measurement system using digital temperature sensor AD7417 was presented. The sensor is connected to a central processing unit (CPU) via digital bus and the temperature value is displayed by LED. Practical application shows that the temperature measurement system is stable and reliable with strong anti-interference ability.


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%.


Author(s):  
Benedict Theren ◽  
Simon Fahle ◽  
Antonia Weirich ◽  
Bernd Kuhlenkötter

Abstract This work presents a scenario in which machine learning (ML) adds value to the usability of an SMA actuator. The considered actuator is a locking device which is actuated by two antagonistically arranged SMA wires. The wires are activated using joule heating. The actuator is operated in aircraft interiors at ambient temperatures between −20°C and 70°C. Preliminary work has shown that the locking device can only be reliably operated in a temperature range from approx. 4°C to 40°C without adjusting the activation parameters. Below these temperatures, the wires must receive more heating energy to actuate the device. Above 40°C, the heating energy must be decreased. Otherwise, the wires could be severely damaged. Currently, a temperature sensor and thus an additional component is required for temperature detection. It is known from literature review and from our preliminary work that the characteristic course of electrical resistance during activation of SMA wires depends, among other things, on the ambient temperature. Therefore, it is possible to eliminate the temperature sensor and determine the ambient temperature by monitoring the electrical resistance during activation of the actuator wires. However, the resistance is additionally influenced by the state of wear which in turn is influenced by the actuator-specific load case and the activation frequency. Thus, temperature detection using monitoring the electrical resistance during activation is difficult to generalize beyond a specific load case. In this paper, the authors examined whether an ambient temperature between −20°C and 75°C can be correctly matched to a 5°C interval using a neural network trained with data from the course of the resistance and taking into account the state of wear for a specific actuator. To generate the necessary data, the actuator is operated in a climatic chamber until one of the wires breaks. The ambient temperature is varied between the two end temperatures. This test was carried out twice in total. A neural network was trained to test whether the ambient temperature of the wires can be determined. This procedure worked within the experiments. In a second step, the network was trained with data from experiment 1 to determine the ambient temperatures of experiment 2 and vice versa. This did not lead to a satisfactory result. Two different persons installed the wires in the actuator for the two different experiments. Therefore it can be concluded, that the installation of the actuator wires has a considerable influence on the applicability of machine learning in this scenario.


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