Large-range and high-resolution temperature measurement system for satellite-borne infrared detector

Due to the temperature fluctuation, both the self-gravity disturbance level of the gravitational wave detection vehicle and the laser interference measurement system are affected, which brings great noise to the gravitational wave measurement, and the temperature field fluctuation has become one of the most important noise sources of the inertial sensor. In order to ensure the noise level of the inertial sensor to meet the needs of detection, this paper uses the AC bridge to reduce the self-noise of the temperature measurement system, improve the resolution of the temperature measurement system, and realize a high-resolution and low-noise temperature measurement system. The experimental results show that the effective value of self-noise of the temperature measurement system is about 3.65 × 10[Formula: see text]°C, and the long-period noise is less than 1 × 10[Formula: see text]°C. It can be used in the space gravitational wave detection test and control system.

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Apply IOT technology to practice a pandemic prevention body temperature measurement system: A case study of response measures for COVID-19

International Journal of Distributed Sensor Networks ◽

10.1177/15501477211018126 ◽

2021 ◽

Vol 17 (5) ◽

pp. 155014772110181

Author(s):

Wei-Ling Lin ◽

Chun-Hung Hsieh ◽

Tung-Shou Chen ◽

Jeanne Chen ◽

Jian-Le Lee ◽

...

Keyword(s):

Body Temperature ◽

Temperature Measurement ◽

Measurement System ◽

Disease Surveillance ◽

Disease Surveillance System ◽

Temperature Detection ◽

Wide Range ◽

Body Temperature Measurement ◽

Analysis System ◽

Temperature Measurement System

Today, the most serious threat to global health is the continuous outbreak of respiratory diseases, which is called Coronavirus Disease 2019 (COVID-19). The outbreak of COVID-19 has brought severe challenges to public health and has attracted great attention from the research and medical communities. Most patients infected with COVID-19 will have fever. Therefore, the monitoring of body temperature has become one of the most important basis for pandemic prevention and testing. Among them, the measurement of body temperature is the most direct through the Forehead Thermometer, but the measurement speed is relatively slow. The cost of fast-checking body temperature measurement equipment, such as infrared body temperature detection and face recognition temperature machine, is too high, and it is difficult to build Disease Surveillance System (DSS). To solve the above-mentioned problems, the Intelligent pandemic prevention Temperature Measurement System (ITMS) and Pandemic Prevention situation Analysis System (PPAS) are proposed in this study. ITMS is used to detect body temperature. However, PPAS uses big data analysis techniques to prevent pandemics. In this study, the campus field is used as an example, in which ITMS and PPAS are used. In the research, Proof of Concept (PoC), Proof of Service (PoS), and Proof of Business (PoB) were carried out for the use of ITMS and PPAS in the campus area. From the verification, it can be seen that ITMS and PPAS can be successfully used in campus fields and are widely recognized by users. Through the verification of this research, it can be determined that ITMS and PPAS are indeed feasible and capable of dissemination. The ITMS and PPAS are expected to give full play to their functions during the spread of pandemics. All in all, the results of this research will provide a wide range of applied thinking for people who are committed to the development of science and technology.

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