Research on Stray Current Monitoring of Subway Tracks

2012 ◽  
Vol 490-495 ◽  
pp. 2494-2498 ◽  
Author(s):  
Dong Liang Zhang ◽  
Yun Lin Yang
Keyword(s):  
Stray Current ◽  
Advantages And Disadvantages ◽  
Detection Technology ◽  
Monitoring Technologies ◽  
Current Monitoring

This paper analyzes the cause of stray current of subway tracks, classifies the stray current, and explains the hazards. Based on this, the paper also summarizes the advantages and disadvantages of traditional monitoring technologies and current monitoring technologies, and applies the current CIPS detection technology to make simulation in the laboratory. The simulation result well reflects the distribution of stray current on the rail.

Detection and Monitoring Technologies of Bridge Cable Force and Disease

2014 ◽  
Vol 919-921 ◽  
pp. 369-372
Author(s):  
Yi Zheng
Keyword(s):  
Cable Structure ◽  
Advantages And Disadvantages ◽  
Detection Technology ◽  
Testing Technology ◽  
Cable Force ◽  
Bridge Cable ◽  
Monitoring Technologies ◽  
Specific Comparison ◽  
External Injury ◽  
Detection Technologies

Investigation is carried out aiming at analysis of bridge cable detection and monitoring. Detection and monitoring technology characteristics are summarized, while technology advantages and disadvantages analyzed. Dynamic detection technology of cable force is used most often. Effects of various factors of this technology are analyzed. Cable structure internal and external injury detection technologies are analyzed. Nondestructive testing technology specific comparison is carried out, the advantages and disadvantages of each technology and application. Nondestructive damage detection technique prospect is presented.

Research Situation Analysis of On-line Detection Technology for Power Transformer Winding Deformation

2020 ◽  
Vol 13 (6) ◽  
pp. 823-832
Author(s):  
Zhenhua Li ◽  
Weihui Jiang ◽  
Li Qiu ◽  
Zhenxing Li ◽  
Yanchun Xu
Keyword(s):  
Detection Method ◽  
Theoretical Research ◽  
Line Detection ◽  
Response Analysis ◽  
Advantages And Disadvantages ◽  
Detection Technology ◽  
The Future ◽  
Transformer Winding ◽  
On Line ◽  
Winding Deformation

Background: Winding deformation is one of the most common faults in power transformers, which seriously threatens the safe operation of transformers. In order to discover the hidden trouble of transformer in time, it is of great significance to actively carry out the research of transformer winding deformation detection technology. Methods: In this paper, several methods of winding deformation detection with on-line detection prospects are summarized. The principles and characteristics of each method are analyzed, and the advantages and disadvantages of each method as well as the future research directions are expounded. Finally, aiming at the existing problems, the development direction of detection method for winding deformation in the future is prospected. Results: The on-line frequency response analysis method is still immature, and the vibration detection method is still in the theoretical research stage. Conclusion: The ΔV − I1 locus method provides a new direction for on-line detection of transformer winding deformation faults, which has certain application prospects and practical engineering value.

scholarly journals Review of Dissolved Oxygen Detection Technology: From Laboratory Analysis to Online Intelligent Detection

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3995 ◽  
Author(s):  
Yaoguang Wei ◽  
Yisha Jiao ◽  
Dong An ◽  
Daoliang Li ◽  
Wenshu Li ◽  
...  
Keyword(s):  
Dissolved Oxygen ◽  
Real Time ◽  
Optical Detection ◽  
Oxygen Sensors ◽  
Detection Methods ◽  
Future Research ◽  
Advantages And Disadvantages ◽  
Oxygen Detection ◽  
Detection Technology ◽  
Intelligent Technology

Dissolved oxygen is an important index to evaluate water quality, and its concentration is of great significance in industrial production, environmental monitoring, aquaculture, food production, and other fields. As its change is a continuous dynamic process, the dissolved oxygen concentration needs to be accurately measured in real time. In this paper, the principles, main applications, advantages, and disadvantages of iodometric titration, electrochemical detection, and optical detection, which are commonly used dissolved oxygen detection methods, are systematically analyzed and summarized. The detection mechanisms and materials of electrochemical and optical detection methods are examined and reviewed. Because external environmental factors readily cause interferences in dissolved oxygen detection, the traditional detection methods cannot adequately meet the accuracy, real-time, stability, and other measurement requirements; thus, it is urgent to use intelligent methods to make up for these deficiencies. This paper studies the application of intelligent technology in intelligent signal transfer processing, digital signal processing, and the real-time dynamic adaptive compensation and correction of dissolved oxygen sensors. The combined application of optical detection technology, new fluorescence-sensitive materials, and intelligent technology is the focus of future research on dissolved oxygen sensors.

Development of Detection Research on Fatigue Driving

2014 ◽  
Vol 641-642 ◽  
pp. 813-817
Author(s):  
Xiao Jun He ◽  
Jing Liu ◽  
Zhen Di Yi ◽  
Yuan Quan Yang
Keyword(s):  
Fatigue Testing ◽  
Detection Methods ◽  
Advantages And Disadvantages ◽  
Efficient Detection ◽  
Detection Technology ◽  
Driving Fatigue ◽  
Cost Efficient ◽  
Fatigue Driving ◽  
The Cost ◽  
Fatigue Detection

This paper presents the current most common fatigue-driving detection methods. The advantages and disadvantages of these detection methods are compared with. Moreover, several major products of the current fatigue detection are listed briefly. Furthermore, the development trends of driving-fatigue detection technology are prospected. The author believes that driver fatigue testing standards need to be further clarified and the non-contact detection method of driving-fatigue needs to be developed deeply. Information fusion is an important orientation for driving fatigue and we should design the cost-efficient detection products for fatigue-driving.

Research Status and Development Trend of Electromagnetic Defect Detection Logging

2013 ◽  
Vol 325-326 ◽  
pp. 856-860
Author(s):  
Zheng Guo Yan ◽  
Lin Zhao
Keyword(s):  
Defect Detection ◽  
Hot Spot ◽  
Development Trend ◽  
Research Status ◽  
Advantages And Disadvantages ◽  
Detection Technology ◽  
Metal Thickness ◽  
Theory Research ◽  
The Development Trend

Electromagnetic defect detection logging can measure multilayer pipeline and provide the information of casing defect and the remaining metal thickness, is the hot spot of the casing defect detection technology. This paper elaborates the advantages and disadvantages of electromagnetic defect detection logging and the present instrument situation, compares technical indexes of several new electromagnetic casing defect detection instruments, summarizes the latest research status, points out the problems existed in current researches and the development trend combining with the instrument index and theory research.

scholarly journals Narrative Review of Neurologic Complications in Adults on ECMO: Prevalence, Risks, Outcomes, and Prevention Strategies

2021 ◽  
Vol 8 ◽  
Author(s):  
Hongling Zhang ◽  
Jiqian Xu ◽  
Xiaobo Yang ◽  
Xiaojing Zou ◽  
Huaqing Shu ◽  
...  
Keyword(s):  
Sharp Increase ◽  
Neurologic Complications ◽  
Prevention Strategies ◽  
Neurologic Injury ◽  
Life Saving ◽  
Important Approach ◽  
Venovenous Ecmo ◽  
Poor Outcomes ◽  
Monitoring Technologies ◽  
Current Monitoring

Extracorporeal membrane oxygenation (ECMO), a life-saving technique for patients with severe respiratory and cardiac diseases, is being increasingly utilized worldwide, particularly during the coronavirus disease 2019(COVID-19) pandemic, and there has been a sharp increase in the implementation of ECMO. However, due to the presence of various complications, the survival rate of patients undergoing ECMO remains low. Among the complications, the neurologic morbidity significantly associated with venoarterial and venovenous ECMO has received increasing attention. Generally, failure to recognize neurologic injury in time is reportedly associated with poor outcomes in patients on ECMO. Currently, multimodal monitoring is increasingly utilized in patients with devastating neurologic injuries and has been advocated as an important approach for early diagnosis. Here, we highlight the prevalence and outcomes, risk factors, current monitoring technologies, prevention, and treatment of neurologic complications in adult patients on ECMO. We believe that an improved understanding of neurologic complications presumably offers promising therapeutic solutions to prevent and treat neurologic morbidity.

scholarly journals Face Detection and Recognition Algorithm in Digital Image Based on Computer Vision Sensor

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Di Lu ◽  
Limin Yan
Keyword(s):  
Computer Vision ◽  
Face Recognition ◽  
Face Detection ◽  
Data Communication ◽  
Electrical Signal ◽  
Network Technology ◽  
Skin Texture ◽  
Advantages And Disadvantages ◽  
Detection Technology ◽  
Detection And Recognition

With the continuous innovation of network technology, various kinds of convenient network technologies have grown, and human dependence on network technology has gradually increased, which has resulted in the importance of network information security issues. With the continuous development of my country’s industrialization, the application of sensors is becoming more and more extensive, for example, the security vulnerabilities and defects in the operating system itself. Traditional sensors can “perceive” a certain thing or signal, convert it into an electrical signal and record it, and then use a conversion circuit to output the electrical signal into a value or other display form that is conducive to observation. Nowadays, sensors have been further developed. Based on the original “perception” function, combined with computer technology, it integrates data storage, data processing, data communication, and other functions, so that it has analysis functions and can better display information. The technical level has reached a new level. Early intelligent recognition mainly used the uniqueness of finger and palm lines to scan and contrast, but due to some weather reasons or skin texture constraints caused by skin texture, these methods showed certain limitations. This paper proposes a new computer vision-based algorithm from face detection technology and face recognition technology. In the face detection technology, it is mainly introduced from the OpenCV method. Face recognition technology is improved in practical applications through the Seetaface method and YouTu method. At the same time, using the contrast experiment, the detection and recognition rates under the three different requirements of side face detection, occlusion detection, and facial exaggerated expression are compared, and the accuracy of each method is improved. The results show that each case is compared in each case. The advantages and disadvantages of the algorithm effectively verify the effectiveness of the method.

scholarly journals Atmospheric and Soil Methane Concentrations Integrating a New Gas Detection Technology

Proceedings ◽  
2020 ◽  
Vol 67 (1) ◽  
pp. 7
Author(s):  
Ana Maria Carmen Ilie ◽  
Carmela Vaccaro
Keyword(s):  
Low Cost ◽  
Ground Surface ◽  
Soil Gas ◽  
Environmental Data ◽  
Gas Detection ◽  
Advantages And Disadvantages ◽  
Radon Gas ◽  
Detection Technology ◽  
Gas Measurements ◽  
Soil Gas Survey

Cities are major contributors to greenhouse gas emissions (GHG) due to the high density of urbanization, numerous industrial centers, and intensive agricultural activities. This study focused on soil methane and radon gas measurements in the subsurface, as well as in the atmosphere. Measurements were conducted using new gas detection instrumentation and as low-cost devices for methane gas concentrations. Maximum soil radon gas concentration was observed to be approximately 1770 ± 582 Bq/m3 at a depth of 1 m below the ground surface. The soil comprised of 64.31% sand, 20.75% silt, and 14.94% clay, and 0.526 ppm of uranium. The maximum concentration of methane was about 0.06%, at a depth of 1 m into the soil, characterized by 83% sand, 8.96% silt, and 7.89% clay. Moreover, this study focused on a better understanding of the advantages and disadvantages of new soil gas detection technology. The results and findings of environmental data obtained from the soil gas survey were shared with the community, whose involvement was critical in the data acquisition process.

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