Line Method Research Articles

Analysis on determinants of carbon emissions from plaza ground paving during the construction stage based on life cycle assessment

The carbon emissions of paving projects are the focus of urban managers and researchers. By introducing the life cycle assessment (LCA) method and drawing up the study time and boundary, this study analyzed the carbon emissions activities of the plaza ground paving project and established a computational model of the cast-in-place architectural concrete (CAC) and natural stone pavement’s life cycle during the construction stage by comprehensively utilizing the carbon emission coefficient method and the direct source consumption statistics method of the production line. Based on the model, this study employed the ground paving of a top-notch Theme Park Plaza in Beijing as a sample to calculate the carbon emissions of two different types of building materials at various phases of their life cycle and made a comparative evaluation. It is concluded that the carbon emissions (expressed in CO2) produced by the CAC ground in the sample area is 75.46 kg CO2/m2, while that of the natural stone pavement is 110.81 kg CO2/m2. Our results demonstrate significantly linear relationship between the overall emissions of carbon and the material carbon factor. This study adds to the body of knowledge by calculating the carbon emissions and determining the trend of carbon footprint for ground paving. Furthermore, the study's findings can be used to enhance construction management options and choose green materials. The findings can also be used to provide supporting theories for the development of regulations and carbon reduction policies based on constructing energy conservation and greenhouse gas reduction.

A fault location method for hybrid transmission lines based on empirical Fourier decomposition

A fault location method for hybrid transmission lines based on empirical Fourier decomposition

Comparison of the diagnostic performance of the Swischuk line method and the anterior atlantodental interval method in atlantodental subluxation.

Atlantodental subluxation (ADS) is a serious condition that can result in sudden death. Measuring the anterior atlantodental interval (AADI method) is the gold standard for diagnosis but the complex anatomy of this region can make diagnosis difficult, especially for beginners. Therefore, we would like to use a simpler method, the Swischuk line method, to diagnose ADS. The purpose of our study was to evaluate the diagnostic performance of the Swischuk line method for ADS on lateral cervical spine radiographs compared to the AADI method. A retrospective study was conducted with patients who presented with ADS (ADS group, n = 32, mean age 57.78 years, age range 34-82 years, 10 men, 21 women) and an age- and sex-matched control group (n = 32). The diagnostic performance of the AADI method and the Swischuk line method for ADS was assessed using lateral cervical radiographs in both flexion and neutral postures by an experienced musculoskeletal radiologist (reader 1), a senior resident (reader 2), and a junior resident (reader 3) in the radiologic department. In the flexion posture, the AADI method and the Swischuk line method showed excellent diagnostic performance with AUCs > 0.9 for readers 1 2 and reader 3. In a neutral posture, the diagnostic performance of the AADI and Swischuk line methods was decreased. With a 1mm cut-off value using the Swischuk line method in flexion posture, the sensitivity was 75% or more, the specificity was 100%, and the accuracy was 87.50% or more 90.63% for all readers. With a 2mm cut-off value, the sensitivity was low (37.50-46.88%) but the specificity was 100% for all three readers. In a neutral posture, the sensitivity for both methods decreased, though specificity remained high (> 80%). The Swischuk line method was found to be reliable and showed high sensitivity and specificity with a cut-off value of 1mm for the diagnosis of ADS in cervical lateral radiographs in flexion posture. It can be used as a complement to the AADI method.

Research on fault localization method of transmission line based on distributed monitoring

Abstract Transmission lines are the arteries of power system operation, carrying the important task of conveying electric energy, which is the most fragile and fault-prone place in the power system. This paper first analyzes the traveling wave propagation characteristics of transmission lines. It builds a mathematical model for the refraction and reflection phenomena of traveling waves that occur in the process of readjustment and distribution of transmission lines. The three traveling wave monitoring points nearest to the fault point are used to localize the fault, and the principle of the phase difference of split-phase current is explored based on the fault component. By means of experimental analysis, the phase currents of the three measurement points are detected, and for the transient current waveforms at the time of lightning strikes and short-circuits, the lightning fault localization method of the transmission line based on wavelet transforms is proposed and analyzed for fault localization of the technique. The results of simulation experiments show that when a ground fault occurs in the L1 phase of the line, the current fault components of measurement point 2 and measurement point 3 increase rapidly, and the element between measurement points is more than 10kA. The phase difference of the components is 180°, so the fault interval of the transmission line is from measurement point 2 to measurement point 3, and the fault phase is the L1 phase. Upon analysis, it is apparent that the actual fault distance error of 0.838km is the measurement of the fault distance of the transmission line, and the method proposed in this paper has a high level of measurement accuracy.

Control Method for Up and Down Lines of Transmission Line Operation Robots

The current transmission line robot up and down the line relies on manual lifting, and this method is labor-intensive, dangerous, and requires the assistance of many people. To address this problem, the paper proposes a control method based on UAV-assisted transmission line power line operation robot up and down the line. Aiming at the characteristics of transmission lines, in order to solve the problem of uneven posture and even side-turning when the robot is on line, the robot adopts the way of lifting with four traction ropes driven by the reel, and analyzes the tilting situation that the robot may encounter when it is on line, and puts forward a BP fuzzy neural network PID-based leveling control method, which compares the rapidity and stability of the leveling of the different control methods in the case of perturbation, and solves the problem of uneven posture and side-turning of the robot when it is on line. the problem of uneven attitude. Finally, a robot lifting attitude leveling experiment is carried out in a simulated field to prove the feasibility of the proposed automatic robot up and down line method in practical applications.

Fault Location and Fault Cause Identification Method for Transmission Lines Based on Pose Normalized Multi-Output Convolutional Nets

Fault Location and Fault Cause Identification Method for Transmission Lines Based on Pose Normalized Multi-Output Convolutional Nets

Fast Schedule Recovery Method for Semiconductor Packaging Lines With Machine Failures and Constrained Time Windows

Fast Schedule Recovery Method for Semiconductor Packaging Lines With Machine Failures and Constrained Time Windows

A Novel Fault Location Method for HVDC Transmission Lines Based on the Wavefront Characteristics of Line-Model Component of Fault Voltage

A Novel Fault Location Method for HVDC Transmission Lines Based on the Wavefront Characteristics of Line-Model Component of Fault Voltage

Modified VMD Algorithm-Based Fault Location Method for Overhead-Cable Hybrid Transmission Line in MTDC System

Modified VMD Algorithm-Based Fault Location Method for Overhead-Cable Hybrid Transmission Line in MTDC System

HRD-YOLOX Based Insulator Identification and Defect Detection Method for Transmission Lines

HRD-YOLOX Based Insulator Identification and Defect Detection Method for Transmission Lines

Research on Efficient detection method of low voltage power line based on edge intelligence

Research on Efficient detection method of low voltage power line based on edge intelligence

Research on Total Electric Field Prediction Method of Ultra-High Voltage Direct Current Transmission Line Based on Stacking Algorithm

Research on Total Electric Field Prediction Method of Ultra-High Voltage Direct Current Transmission Line Based on Stacking Algorithm

Line fault location of flexible DC distribution network based on adaptive noise empirical mode decomposition

A fault location method for flexible DC distribution network lines is proposed to address the issues of insufficient decomposition in fault signal extraction and the complexity of traveling wave head detection. The method combines adaptive noise empirical mode decomposition (CEEMDAN) and Teager energy operator (TEO). Firstly, CEEMDAN is used to adaptively denoise the line mode signal and obtain the optimal modal component to overcome modal aliasing and insufficient decomposition in signal separation. Then, the reach time of the fault traveling wave is determined by using TEO. Ultimately, the fault location is accurately determined by employing both ends of the traveling wave ranging technique. Through the combination of software PSCAD and MATLAB, the simulation experiment of the line fault is carried out. This means that the method can quickly and precisely identify the location of faults in a system.

Fault location method of industrial Ethernet communication line based on Bayesian

Fault location method of industrial Ethernet communication line based on Bayesian

Research on Parallel Computing Methods for High-Resolution Atmospheric Spectral Lines

Research on Parallel Computing Methods for High-Resolution Atmospheric Spectral Lines

An intelligent buffer capacity allocation method for flexible production lines based on conjugate Bayes estimation

An intelligent buffer capacity allocation method for flexible production lines based on conjugate Bayes estimation

A Dice similarity coefficient-based pilot protection method for 500kV transmission lines of large-scale integrated photovoltaic power supply

A Dice similarity coefficient-based pilot protection method for 500kV transmission lines of large-scale integrated photovoltaic power supply

The Phase-to-Ground Fault Locating Method for the Wind Farm Transmission Line With the Single End Transient Information

The Phase-to-Ground Fault Locating Method for the Wind Farm Transmission Line With the Single End Transient Information

Enhanced fault localization in multi-terminal transmission lines using novel machine learning

Accurate fault location on transmission lines is paramount for ensuring the reliable and efficient operation of the electricity grid, which underpins every aspect of modern society. Existing fault localization methods for transmission lines often face shortcomings, particularly in scenarios involving multi-terminal transmission lines, where complexities arise due to dispersed generations and intricate network configurations. Traditional approaches may struggle to provide accurate fault localization, impacting the reliability and efficiency of the electricity grid. Research provide a unique fault localization technique in this article depends on Phasor Measurement Units (PMUs) and Bidirectional Gradient Boost Random Forest (BDGB-RF) machine learning technique to address these challenges. The proposed method offers several advantages over traditional methods, including enhanced accuracy and efficiency. By leveraging PMU data and BDGB-RF, the method provides a two-phase fault localization strategy, incorporating fault line selection based on nodal current imbalance and subsequent fault distance determination. Simulation results demonstrate the effectiveness of the proposed approach, achieving up to 97% accuracy in the majority of studied scenarios, even under different tapping configurations. The adoption of this approach could significantly impact the practices of experts in the field, facilitating more reliable fault detection and localization in complex transmission line networks. This, in turn, can contribute to the resilience and stability of power systems, ultimately improving grid reliability and minimizing downtime.

Existence and uniqueness of solutions for stochastic differential equations with locally one-sided Lipschitz condition

<p>This paper investigated stochastic differential equations (SDEs) with locally one-sided Lipschitz coefficients. Apart from the local one-sided Lipschitz condition, a more general condition was introduced to replace the monotone condition. Then, in terms of Euler's polygonal line method, the existence and uniqueness of solutions for SDEs was established. In the meanwhile, the $ p $th moment boundedness of solutions was also provided.</p>