Online Monitoring of Electrical Equipment Condition Based on Infrared Image Temperature Data Visualization

2021 ◽  
Author(s):  
Jianguo Wang ◽  
Jianhua Ou ◽  
Yadong Fan ◽  
Li Cai ◽  
Mi Zhou
Keyword(s):  
Data Visualization ◽  
Online Monitoring ◽  
Infrared Image ◽  
Electrical Equipment ◽  
Temperature Data

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.

scholarly journals Time Synchronization and Communication Program of Wireless Sensor Network for Online Monitoring of Electrical Equipment

2017 ◽  
Vol 13 (07) ◽  
pp. 36
Author(s):  
Yuxia Shen
Keyword(s):  
Operating System ◽  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Online Monitoring ◽  
Time Synchronization ◽  
Electrical Equipment ◽  
Wireless Sensor ◽  
Zigbee Protocol

<p><span style="font-size: medium;"><span style="font-family: 宋体;">In wireless sensor networks, for improving the time synchronization perfromance of online monitoring and application of ZigBee protocol, a scheme is designed. For this objective, first of all, the ZigBee protocol specification is summarized, a profound analysis of the hardware abstraction architecture of TinyOS operating system is made; the advantages of the ZigBee protocol compared with the traditional radio technology are comparatively analyzed. At the same time, the node design block diagram based on CC2430 and related development system is provided. In the TinyOS2.x operating system, we analyze CC2430 application program abstract architecture, and on this basis, give the realization process of program design. The research results showed that we achieve an on-line monitoring system based on ZigBee protocol, which has realistic significance of applying ZigBee protocol in wireless sensor network of electrical equipment online monitoring. Based on the above research, it is concluded that the online monitoring system can collect the temperature parameters of the monitored object in real time that it can be widely applied in wireless sensor networks.</span></span></p>

Infrared image of electrical equipment enhancement using grey wolf adaptive nonlocal mean denoising and adaptive fuzzy enhancement

2021 ◽  
Author(s):  
Xin Zhang ◽  
Xikui Sheng ◽  
Chunsheng Li ◽  
Jiaxiang Zhu ◽  
Shanshan Li ◽  
...  
Keyword(s):  
Infrared Image ◽  
Electrical Equipment ◽  
Grey Wolf ◽  
Adaptive Fuzzy ◽  
Fuzzy Enhancement

scholarly journals Infrared Image Recognition and Development of Management System for Electrical Equipment

2018 ◽  
Vol 186 ◽  
pp. 012044
Author(s):  
H Zhong ◽  
X B Lin ◽  
F Hu ◽  
Y F Li ◽  
Z Yuan
Keyword(s):  
Image Recognition ◽  
Management System ◽  
Infrared Image ◽  
Electrical Equipment

Design of the System for Online Monitoring Dielectric Loss

2012 ◽  
Vol 472-475 ◽  
pp. 1568-1571
Author(s):  
Jian Feng Zheng ◽  
Hao Qiang
Keyword(s):  
Dielectric Loss ◽  
Monitoring System ◽  
High Voltage ◽  
Online Monitoring ◽  
Electrical Equipment ◽  
Comparison Method ◽  
Zero Crossing ◽  
Transformer Substation ◽  
Online Monitoring System ◽  
Upper Computer

For knowing the dielectric loss of high-voltage capacitive electrical equipment timely and mastering the electrical insulation of high voltage equipment effectively to ensure the reliable operation of these voltage equipments, an online monitoring system is designed in this paper based on the practical project. The system is made up of two parts including lower computer and upper computer. Using the microcontroller C8051F023 as the core of the lower computer and adopting an improved zero-crossing comparison method, the measurement of dielectric loss is realized and the data are sent to upper computer by wireless way. SQL2000 is used in the upper computer for data management, which can be real-time displayed, inquired and printed in report forms. At present, this monitoring system has successfully applied in the Houqiao 330 kV transformer substation in Ningxia. The operating results show that the system can meet well the online monitoring demand of the high voltage capacitive electrical equipment.

Design of online monitoring and forecasting system for electrical equipment temperature of prefabricated substation based on WSN

2016 ◽  
Author(s):  
Weiran Qi ◽  
Hongxia Miao ◽  
Xuejiao Miao ◽  
Xuanxuan Xiao ◽  
Kuo Yan
Keyword(s):  
Online Monitoring ◽  
Electrical Equipment ◽  
Monitoring And Forecasting ◽  
Forecasting System

scholarly journals Infrared image-based detection method of electrical equipment overheating area in substation

2020 ◽  
Vol 185 ◽  
pp. 01034
Author(s):  
Songhai Fan ◽  
Tianyu Li ◽  
Yicen Liu ◽  
Yiyu Gong ◽  
Kunjian Yu
Keyword(s):  
Active Contour ◽  
Clustering Algorithm ◽  
Active Contour Model ◽  
Infrared Image ◽  
Electrical Equipment ◽  
Detection Algorithm ◽  
Target Area ◽  
Detection Range ◽  
Edge Points ◽  
Fcm Clustering

For the detection of overheated areas of electrical equipment, in order to accurately segment out the overheated areas and reduce the fault detection range, this paper proposes a new overheated area detection algorithm. Firstly, the Ostu algorithm is used to remove the background and segment the general area of the electrical equipment area; secondly, the active contour model is used to refine the edge of the target area to remove the redundant edge points; finally, FCM clustering algorithm is used to suppress over segmentation and accurately divide the overheated area. The experiment proves that the algorithm can accurately divide the overheated area, and has certain practical value.

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