Research on Wireless Temperature Measurement System for Electrical Equipment

2014 ◽  
Vol 721 ◽  
pp. 523-526
Author(s):  
Xiang Li Wang ◽  
Yu Gui Nian ◽  
Dong Dong Cai
Keyword(s):  
Energy Efficiency ◽  
Temperature Measurement ◽  
Production Efficiency ◽  
Electrical Equipment ◽  
Temperature Data ◽  
Living Standards ◽  
Measuring Point ◽  
Measurement Software ◽  
Historical Temperature ◽  
Temperature Measurement System

As one of the important parameters for the production process of industry, agriculture and military, temperature can affect the production efficiency, energy efficiency and people’s living standards. The temperature measurement has been widely noted and studied. Firstly, the software can receive the temperature of measuring point, and store the value in the database. Secondly, when the temperature exceeds the specified range, the software will give an alarm. The software can view the historical temperature data and draw the curve of temperature. Finally, the software can query and modify the information of the measuring point, such as number, name, normal temperature range of equipment, etc. Based on the existing research results, this paper describes the design and implement of wireless temperature measurement software for electrical equipment.

Design of Wireless Temperature Measurement System for High Voltage Electrical Equipment

2012 ◽  
Vol 591-593 ◽  
pp. 1502-1505
Author(s):  
Xiang Hong Cao ◽  
Chao Yang ◽  
Hua Zhang
Keyword(s):  
Temperature Measurement ◽  
High Voltage ◽  
Measurement System ◽  
Power Supply ◽  
System Analysis ◽  
Electrical Equipment ◽  
Temperature Data ◽  
Working Environment ◽  
Reliable Power Supply ◽  
Temperature Measurement System

There are many limits in the traditional temperature measurement methods' for high voltage electrical equipment. A wireless temperature measurement system based on C8051F340 for high voltage electrical equipment has been designed, which transfers temperature data by wireless communication, and optimizes the system's power supply for the high voltage electrical equipment's working environment. The host computer of the system analysis the temperature data from wireless sensor and can prevent the equipment's overheat accidents in effect. According to the experiment board's practical operating, this system measures temperature accurately, transfers data stably, operates with a reliable power supply and can meet the practical requirements.

Experimental Study of the Effects of Different Space Forms on SAW Passive Wireless Temperature Measurement System

2013 ◽  
Vol 805-806 ◽  
pp. 1046-1053
Author(s):  
Hai Fang Yue ◽  
Jie Lou
Keyword(s):  
Temperature Measurement ◽  
Measurement System ◽  
Open Space ◽  
Electrical Equipment ◽  
Closed Space ◽  
Space Forms ◽  
Infrared Temperature Measurement ◽  
Electromagnetic Signals ◽  
Temperature Measurement System ◽  
Measuring Signal

The passive wireless temperature measurement system based on SAW is a better method than the fiber optic and the infrared temperature measurement in measuring the temperature of electrical equipment, but the environmental characteristics have an effect on it. In this paper, the effects of open space and closed space on the system are studied by experiments. The open space has a greater effect on temperature measuring signal because of the polarization direction of the antenna; In the closed space of the metal cabinet, whether there is sheet metallic object near the senor or not, it has no effects on the signal, which is mainly because that the reflections of electromagnetic signals by the internal walls of the metal cabinet make the signal power enhanced between the reader and the sensor through multi-angle reflections. Therefore, this type of measurement system is more suitable for the metallic objects in metal cabinet.

Design of Wireless Temperature Measurement System for Chicken Hatch Field Based on LabVIEW

2015 ◽  
Vol 742 ◽  
pp. 186-190
Author(s):  
Jiao Mo ◽  
Ming Zhe Liu ◽  
Jian Bo Yang ◽  
Xu Wang
Keyword(s):  
Temperature Measurement ◽  
Real Time ◽  
Measurement System ◽  
Temperature Data ◽  
Design System ◽  
Real Time Processing ◽  
Display Module ◽  
Wireless Data Transmission ◽  
Temperature Measurement System ◽  
Digital Temperature Sensor

Aiming at the influence of temperature on the rate of chicken’s hatchability in hatch field, this paper uses a flexible wireless VISA communication technology based on LabVIEW to measure and control the temperature in process of chicken hatching. The hardware part was composed of microcontroller C8051F530, digital temperature sensor DS18B20, wireless data transmission module nRF and display module HB240128 for real-time acquisition and processing of temperature data. The software part was written by graphical programming software LabVIEW, and used it to design system interface for functions of real-time processing of temperature data, waveform display, threshold alarm etc. The system can be implemented by hardware circuit itself and computer system interface for the temperature control, which enhanced flexibility of the system and was conducive to troubleshoot interference problems. The test results show that the temperature measurement system was characterized by simple operation, easy maintenance, steady performance and high accuracy.

scholarly journals Intelligent electrical equipment fiber Bragg grating temperature measurement system

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Anhua Peng ◽  
Chengwen Liu ◽  
Le Yang
Keyword(s):  
Temperature Measurement ◽  
Measurement System ◽  
Electromagnetic Interference ◽  
Temperature Sensor ◽  
Electrical Equipment ◽  
Control Group ◽  
Fiber Grating ◽  
Judgment Time ◽  
Fault Monitoring ◽  
Temperature Measurement System

AbstractFiber Bragg gratings are widely used in electrical equipment monitoring, structural health monitoring, power system fault monitoring and other actual detection occasions due to the unique advantages of anti-electromagnetic interference, low fusion loss, high sensitivity, small size, and easy distributed measurement. Fiber grating has been widely used in actual detection occasions such as electrical equipment monitoring, structural health monitoring, and power system fault monitoring. The temperature measurement of the motor based on fiber grating sensing technology not only has strong anti-electromagnetic interference ability, but also can realize multi-point distributed temperature measurement. The research of fiber grating temperature measurement system for intelligent electrical equipment is of great significance. This article mainly studies the optical fiber grating temperature measurement system of intelligent electrical equipment. This paper designs the temperature measurement system architecture, including data acquisition layer, data monitoring layer and remote monitoring layer. Complete the system design from two aspects: hardware design and software design. In the hardware part, the functions of the temperature sensor module transmission system, signal demodulation system, PLC and host computer are analyzed. Use FTM3501 fiber temperature converter is used to realize the automatic electrical fiber grating. Experimental results show that the thermometer has alarm and display analysis functions. The measurement uncertainty is analyzed, and the uncertainty of the calibration result of the fiber Bragg grating temperature sensor is 0.0725 °C; the fault judgment time of the system in this paper does not exceed 4.73 s, while the fault judgment time of the control group is more than 4.73 s. Compared with the control group, it has a faster fault accuracy speed. The system has high measurement accuracy and good stability, can be applied to actual temperature measurement systems, and has certain practical value.

scholarly journals Forecasting for Ultra-Short-Term Electric Power Load Based on Integrated Artificial Neural Networks

Symmetry ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1063 ◽  
Author(s):  
Horng-Lin Shieh ◽  
Fu-Hsien Chen
Keyword(s):  
Energy Efficiency ◽  
Electric Power ◽  
Production Efficiency ◽  
Load Forecasting ◽  
Short Term ◽  
Inference System ◽  
Power Load ◽  
Power Load Forecasting ◽  
New Energy ◽  
Electric Power Load

Energy efficiency and renewable energy are the two main research topics for sustainable energy. In the past ten years, countries around the world have invested a lot of manpower into new energy research. However, in addition to new energy development, energy efficiency technologies need to be emphasized to promote production efficiency and reduce environmental pollution. In order to improve power production efficiency, an integrated solution regarding the issue of electric power load forecasting was proposed in this study. The solution proposed was to, in combination with persistence and search algorithms, establish a new integrated ultra-short-term electric power load forecasting method based on the adaptive-network-based fuzzy inference system (ANFIS) and back-propagation neural network (BPN), which can be applied in forecasting electric power load in Taiwan. The research methodology used in this paper was mainly to acquire and process the all-day electric power load data of Taiwan Power and execute preliminary forecasting values of the electric power load by applying ANFIS, BPN and persistence. The preliminary forecasting values of the electric power load obtained therefrom were called suboptimal solutions and finally the optimal weighted value was determined by applying a search algorithm through integrating the above three methods by weighting. In this paper, the optimal electric power load value was forecasted based on the weighted value obtained therefrom. It was proven through experimental results that the solution proposed in this paper can be used to accurately forecast electric power load, with a minimal error.

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

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.

scholarly journals The Effect of Marshallian and Jacobian Knowledge Spillovers on Jobs in the Solar, Wind and Energy Efficiency Sector

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4269
Author(s):  
Luigi Aldieri ◽  
Jonas Grafström ◽  
Concetto Paolo Vinci
Keyword(s):  
Energy Efficiency ◽  
Solar Wind ◽  
Production Efficiency ◽  
Knowledge Spillovers ◽  
Job Creation ◽  
Green Energy ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Tobit Regression ◽  
Marshallian Externalities

The purpose of this paper is to establish if Marshallian and Jacobian knowledge spillovers affect job creation in the green energy sector. Whether these two effects exist is important for the number of jobs created in related fields and jobs pushed away in other sectors. In the analysis, the production efficiency, in terms of jobs and job spillovers, from inventions in solar, wind and energy efficiency, is explored through data envelopment analysis (DEA), based on the Malmquist productivity index, and tobit regression. A panel dataset of American and European firms over the period of 2002–2017 is used. The contribution to the literature is to show the role of the spillovers from the same technology sector (Marshallian externalities), and of the spillovers from more diversified activity (Jacobian externalities). Since previous empirical evidence concerning the innovation effects on the production efficiency is yet weak, the paper attempts to bridge this gap. The empirical findings suggest negative Marshallian externalities, while Jacobian externalities have no statistical impact on the job creation process. The findings are of strategic importance for governments who are developing industrial strategies for renewable energy.

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