bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research and Practice of Rebar Engineering Quantity Calculation for Underground Diaphragm Wall of Intercity Railway Based on BIM and Planar Representation Method of Rebar
Authors: Pan Jianying 
Published: February 2023

Abstract
Underground diaphragm wall is a typical form of deep foundation support for intercity railroad, which has the characteristics of high wall strength, high stiffness and large amount of steel reinforcement. In the process of quantity calculation, there are problems such as unreasonable calculation method of reinforcement quantity and inaccurate and non-uniform calculation results. This paper briefly discusses the research on quantity calculation based on BIM model by combining the classification form of underground diaphragm wall, sorting out the rules of quantity calculation and steel flat method labeling. It also discusses the functions of the rebar information extraction system based on the rebar flat method labeling and the flow structure of the rebar quantity calculation process of intercity railroad underground diaphragm wall based on BIM and rebar flat method labeling. Finally, the accuracy of the calculation results of the diameter, length and number of longitudinal bars, hoop bars and tension bars of the underground diaphragm wall of the intercity railroad is compared with the traditional calculation mode by combining the calculation model. The data showed that the accuracy rate of calculation based on BIM and steel flat marking method was higher than that of traditional calculation mode, and the accuracy rate of BIM and steel flat marking method reached 97.9% on average, while the accuracy rate of traditional calculation mode was only about 85% on average. Therefore, it is verified that the calculation of intercity railroad underground diaphragm wall reinforcement based on BIM and steel flat method has good effect.
Research on transformer internal defect detection based on large scale model
Authors: Su Lei , Zhou Haoyi , Huang Hua , Zhang Wancai , Cao Boyuan 
Published: February 2023

Abstract
Aiming at the problem that the traditional convolution network can not be used to detect and identify targets in the more complex target detection application scenarios in power grid business, a target detection scheme based on the ability of large model is proposed. The effects of convolution neural network layers, convolution kernel size and feature dimension on the recognition effect are systematically analyzed and compared. The differences between traditional convolution network and large model in data volume, accuracy and model construction efficiency are compared. The experimental results show that for the specific target detection business scenario downstream of power grid, the model constructed by this scheme has the advantages of fast and efficient, high accuracy and less data dependence, and the comprehensive performance is better than the traditional convolution network detection method.
External Attention Mechanism-Based Modulation Classification
Authors: Tao Xueying , Shao Huaizong , Li Qiang , Pan Ye , Fu Zhongqi 
Published: February 2023

Abstract
This paper considers the modulation classification of radio frequency (RF) signals. An external attention mechanism-based convolution neural network (EACNN) is proposed. Thanks to the external attention layers, the EACNN network can capture the potential correlations of different modulation data, which helps reduce computational consumption and memory costs efficiently during training. Moreover, to account for the variation of the signals induced by channel fading, we further propose a customized batch normalization (BN) layer in EACNN to improve the classification accuracy with less training time. Numerical experiments on RML2016.a dataset shows that the proposed method outperforms the baseline method CNN2 by 7% in terms of classification accuracy.
Research on parking guidance system based on computer vision
Authors: Liu Yuan , Liu Xiangju , Wang Shuaimao , Tian Rongqiang 
Published: February 2023

Abstract
The rapid pace of urbanization has made the urban parking problem more and more important, and various regions have introduced corresponding policies and measures to solve the parking problem, such as building large parking plants, introducing intelligent systems, etc. However, the number of parking spaces in large parking plants is large, the spatial distribution is complex, and it is difficult to find parking spaces. It is very important to improve parking efficiency through intelligent parking guidance and management. The parking space recognition system based on image recognition technology of computer vision can obtain real-time parking space utilization. The vehicle guidance system based on the generalized shortest path can guide incoming vehicles, reduce the time for vehicles to wait and find parking spaces. As the core module of the parking intelligent management system, the intelligent parking space recognition system and vehicle guidance system can significantly improve the parking efficiency.
A Case Study On The Failure Of Anti-Short-Circuit Function Of Elevator Door
Authors: Ren Zhaolin 
Published: February 2023

Abstract
The floor and car door circuits are very important parts of the elevator safety protection system, and once they are short-circuited, they will easily lead to shearing and falling accidents.. The newly manufactured elevator requires the addition of door loop detection function, designed to prevent normal operation of elevator from the door loop being short-circuited, however, many systems have defects in determining whether door loop is short-circuit, especially for the elevators which open the front door and the back door at the same time. By comparing the theory of single-door loop detection and double-door loop detection, this paper analyzes the existing problems of the door loop detection device and provides the corresponding rectification and suggestion.
The Failure Analysis of Unintended Elevator Car Movement Protection
Authors: Ren Zhaolin 
Published: February 2023

Abstract
The unintended movement protection device of elevator car can prevent the accident of passenger shearing and extrusion caused by the fracture of elevator traction wheel shaft and the failure of control system components. However, due to the relatively complex composition of this device, many car accidental movement protection devices in the actual use process do not meet the requirements of standards and specifications. In view of the problems found in the inspection, several typical failure cases are summarized, and the reasons for the failure of these devices are analyzed. At the same time, the corresponding solutions under the current technical conditions are put forward, which provides a reference for the development of field inspection and the revision of specifications and standards.
Anti-icing Performance Evaluation of OPGW Based on BOTDA and OTDR
Authors: Zhao Yongqiang , Zhang Ye , Tian Rui , Wu Jian , Hao Jiakai , Xuebin Feng 
Published: February 2023

Abstract
Under certain icing load, the optical fiber of OPGW is seriously affected by stress, which will not only affect the operation quality of line communication, but also threaten its own and line safety, such as cable breaking, tower falling and other accidents. At present, OTDR is mainly used to test the optical path loss of the optical fiber in the OPGW after icing, but that can’t reflect and judge the damage state of the OPGW accurately. In this paper, a method combining BOTDA and OTDR is proposed to detect the damaged state of OPGW after icing. Based on this, the anti icing performance is divided into healthy state, sub-health state and fault state.
Research and development of tunnel intelligent design system
Authors: Fang Zhongqiang , Chao Yang , Yang Jiajia 
Published: February 2023

Abstract
According to the characteristics of tunnel design, the tunnel BIM entity is created based on the digital ground model, forming a set of data sources, two-dimensional drawings, three-dimensional models and three expression design forms of BIM building information. The system can complete the design of tunnel building boundaries and internal contours, tunnel lining design, cave door design and auxiliary construction measures design; Among them, intelligent design is a feature of the software: the design of the cave door, lining section and auxiliary measures can be intelligently determined through the information such as the type of surrounding rock and the burial depth of the tunnel in the geological data, so as to realize the digitization and intelligence of the tunnel design. In addition, there is a template library function, a timely update function. At present, the system can meet 80% of the business needs of tunnel design, which greatly improves the design production efficiency.
Study on Temperature Measurement of Petroleum Product Density Analyzer Based on Hydrometer Method
Authors: Zhou Zhongmu , Ren Tingting , Li Ming , He Mengxi , Zhou Xiaoying 
Published: February 2023

Abstract
Density is a common physical index of petroleum products and is widely measured by the hydrometer method. This paper presents a novel design of temperature measurement method for a petroleum product density analyzer based on the basic functions and main metrological characteristics of the analyzer by referring to the relevant metrological technical specification JJF 1030-2010 and national standard GB/T 1884-2000. The experimental results show that the measurement method is feasible to scientifically evaluate the temperature metrological performance of the petroleum product density analyzer, and can improve the accuracy and reliability of density measurement results of petroleum products.
Research and design of testing equipment for garbage containers
Authors: Liu Fang , Xu Hua , Chen Tianyu , Feng Panpan 
Published: February 2023

Abstract
As to mechanical property testing of garbage containers, the testing results by traditional manual testing means are fundamentally limited by large manual error, low stability, long testing cycle, etc. Based on the common use characteristic of garbage containers in the market, we develop automatic testing equipment for performances of effective volume, opening and closing force, durability, and structural strength of garbage containers. The testing equipment is modular-designed, which can realize commands-control and data transmission of the sensor module and tooling module through the PLC module of measurement and control. Two methods are used to test the item of effective volume, which are the weighing method and the flow method, to optimize the data validity and repeatability by collecting and calibrating two kinds of testing results. The performances of opening and closing force and durability of containers with the different on-off operation modes, such as pedals mode, cover mode, and the mode of the door, are tested by the recombination tooling module with pulling force sensors and torque sensors of the equipment. The structural strength is tested by a lifting mechanism and free-fall tooling in the equipment. Compared to testing results from the traditional method, it is found that results from the testing equipment developed in this study are higher in stability and shorter in the testing cycle. Also, it can realize the automatic testing of garbage containers.
Selection and Design of Excitation Signal in Test System
Authors: Zhang Na , Wu Liu Chun 
Published: February 2023

Abstract
Both the test system and testing technology are inseparable from the selection and construction of the excitation signal. This paper shows excitation signals including transient excitation, harmonic excitation, random signal excitation, etc, which are commonly used in the time domain, frequency domain, and correlation analysis of the stimulus-response test. Moreover, the selection and design method of excitation signals in the test system is introduced based on the principle of signal analysis and system identification, combined with research and engineering practice experience. The application of different excitation signals in modal tests and device characterization is described at the end of this paper.
Precision Design of Probe Station Calibration Device for Wafer Test System
Authors: Bo Tao , Liu Wenjie 
Published: February 2023

Abstract
Aiming at the problem that the probe station of the current wafer test system cannot be measured, a calibration device for the playing table of the wafer test system is designed. The device fully considers the structure of the probe station of the wafer test system and uses a laser interferometer to realize the calibration of the probe station of the wafer test system. Various error sources of the calibration device are analyzed, and errors are allocated according to the device’s technical indicators. The calculation results show that the maximum allowable error of the designed wafer test system probe station calibration device is 0.764μm, which is in line with the technical specifications.
Study on Calibration Method of IC Aging Test Systems under Comprehensive Working Conditions
Authors: Liu Qian , Bo Tao 
Published: February 2023

Abstract
Domestic IC aging test systems are mostly designed with poor consideration of traceability, and self-calibration solutions, which lack systematic overall measurement. According to the comprehensive working conditions characteristics of IC aging test systems, a systematic overall calibration method of the IC aging test systems is presented in this paper.
Experimental Study on Oil Colour Grading Based on Uniform Colour Space
Authors: Gao Hongbo , Sun Duo , Zhou Yan , Zeng Limei , Shi Xiefei 
Published: February 2023

Abstract
Though the Lovibond colorimetric method is effective for determining oil colour, it is a visual comparison method which relies on manual visual reading. As a result, this method is vulnerable to the influence of subjective factors of testers and is of low accuracy. In this paper, the original index of oil colour grading based on Lovibond colour space is changed to the index of oil colour grading based on uniform colour space, and a new method is proposed to determine oil colour by spectrophotometry. The experimental results show that there is a strong correlation between Lovibond red value and the chroma index a*, and a strong correlation between Lovibond yellow value and the chroma index b*. So the method greatly improves the detection efficiency and avoids a series of disadvantages of the visual method.
Intelligent Monitoring System of Access Equipment in Dispatching Exchange Network Based on Multi-layer Immune Model
Authors: Zhang Yantong , Zhai Qi , Zhai Hongting , Li Liang , Quan Weihong 
Published: February 2023

Abstract
To visualize the soft switch traffic and traffic flow of the whole network scheduling, it is necessary to monitor the scheduling of the switching network intelligently. The original system uses fixed-point mode to monitor devices, which can not anchor multiple groups of access devices simultaneously, resulting in errors in monitoring results. In the hardware design of the system, a multilayer immune model is used to establish a three-level visualization partition, and a monitoring system framework for access devices is constructed. In the software design, the detection module, the prompt module, and the automatic decoding module are set up, respectively, and the monitoring process of the dispatching switching network is configured. The access equipment of the dispatching exchange network is intelligently monitored and controlled by an immune model with a three-layer structure. The experimental results show that the data obtained by this system is consistent with the real data and has an application effect by taking the communication data of power dispatching in a provincial power system as the test object and monitoring the communication data of multiple links in a year.
Fault Diagnosis of the Three-phase Asynchronous Motor Bond Graph Model Based on Bond Graph and Temporal Causal Graph
Authors: He Feng , Wang Junnian , Yu Wenxin , Zhong Guangan 
Published: February 2023

Abstract
The bond graph and temporal causal graph (TCG) are proposed to diagnose the fault of three-phase asynchronous motors. The bond graph model of the three-phase asynchronous motor is constructed using the general equations in the three-phase coordinate system. The analytical redundancy relationships (ARRs) and fault signature matrix (FSM) of the three-phase asynchronous motor are derived systematically by introducing TCG to improve the system fault isolability. Simulation experiments are conducted for the rotor-turn short-circuit fault and the rotor-break bar fault of the three-phase asynchronous motor. The experimental results show that introducing TCG for fault diagnosis in this model is feasible.
Monocular Depth Estimation Network Based on Swin Transformer
Authors: Yu Shangbin , Zhang Renyan , Ma Shuaiye , Jiang Xinfang 
Published: February 2023

Abstract
Estimating depth from a single image is challenging because a single 2D image may correspond to many different 3D scenes with the same depth. While most deep learning based depth prediction methods extract depth features using small convolutional kernels with small receptive fields, which results in deformed depth edges and inaccurate depth values of distant objects in the depth estimation results. Aiming at this problem, we propose a depth estimation network based on Swin Transformer and the encoder-decoder structure. We construct the encoder using the Swin Transformer network, which can encode long-range spatial dependency and extract features on various scales and across different channels. The decoder of the proposed network is in charge of fusing the features from the encoder by the operations of interpolation, concatenation, and convolution. Experiments on KITTI and NYUv2 datasets show that our proposed network can get more accurate depth edges and depth values than the state-of-the-art methods.
Independent and Related Variable Fault Detection Based on Information Concentrated Variational Auto-encoder
Authors: Yang Jingchao , Wang Li 
Published: February 2023

Abstract
With the rapid development of deep learning methods, the variational auto-encoder (VAE) has been utilized for nonlinear process monitoring. However, most VAE-based methods hardly consider the inner independent and related relationship of each variable. To overcome this problem, a novel VAE named independent and related variable information concentrated variational auto-encoder (IRVIC-VAE) is proposed. To concentrate the independent and related information, a loading weight matrix regularization based on the mutual information of variables with gaussian distribution is introduced so that the variables can separate into two subspaces that contain independent and related information in latent variables. The original data space decomposed via IRVIC-VAE is orthogonal and approximate to normal distribution. For process monitoring, the independent variable space and related variable space are combined to establish two statistics according to Kullback-Leibler divergence and 2-norm. Finally, the performance and effectiveness of IRVIC-VAE are testified by Tennessee Eastman (TE) process.
Thermographic Inspection Simulation of One Kind of Rail Defects
Authors: Fang Xucheng , Wang Hui 
Published: February 2023

Abstract
Rail is an important foundation of rail transit, and defects on the rail may pose a serious threat to rail transit. As a new non-destructive testing method, thermographic detection shows an excellent application prospect. In order to verify whether thermographic detection technology can be used to detect the defects on the rail, especially the defects at the bottom of the rail. The ANSYS software is used to model the rails under different conditions, and the heat flow simulation experiment is carried out to obtain the temperature change results when the heat flow passes through the defects and when it does not. The existence and location of defects can be determined by observing how the heat flow changes due to the existence of defects.
Although the results show that surface fracture defects and defects towards the bottom edge of the rail can be clearly detected by thermal modeling under laser heating conditions, for transverse cracks that exist near the center of the rail bottom, the simulation experiments still cannot distinguish the temperature differences at the same observation location under current parameters. So it may be necessary to further optimize the experimental process, or increase the experimental parameters, so that the thermal modeling method can be better applied for non-destructive testing of rail defects.
Study on the Relationship Between Thickness Measurement and Strength Defect of Buried Pipeline
Authors: Xu Chuandi , Li Wanze , Lv Fei 
Published: February 2023

Abstract
Based on the principle of electromagnetic eddy current testing, aiming at the problems of heavy workload and difficult location of defects in the periodic inspection of buried pipelines, the eddy current distribution of pipelines, probes, and defects is modeled and simulated by using ANSYS EM simulation software, the correlation model between pipeline parameters, excitation signals, and received signals is established, and the quantitative relationship between pipeline wall thickness parameters and eddy current distribution is clarified. Based on the accuracy and engineering application ability, the through pipe wall thickness detection device is optimized, and the structure of the eddy current probe is improved. The experimental results show that the improved eddy current probe can improve the detection accuracy of 6.9% in detecting the induced eddy rheology in the workpiece and effectively improve the efficiency of pipe wall thickness defect location and pipe radius detection, which can provide a new reference for the regular detection and troubleshooting of buried pipelines.
Stereo matching method of distribution box hole image based on improved AD-Census algorithm
Authors: Li Dejun , Cheng Kang , Wang Cheng , Zhou Guiyang 
Published: February 2023

Abstract
In mountain tunnels’ mechanical and electrical engineering, it is necessary to carry out cable distribution plates. To ensure the accuracy of the cable distribution plate, it is essential to measure the distance between the distribution box hole and tunnel mouth and the size of the distribution box hole. Stereo matching is a crucial step in using binocular vision for measurement, and the quality of the matching effect directly affects the measurement accuracy of the following steps. This study focuses on the measurement of tunnel distribution box hole size and studies the stereo-matching algorithm of distribution box hole images. AD-Census, a semi-global stereo-matching algorithm, is selected as the main stereo-matching algorithm in this paper, and the stereo-matching experiment is carried out. According to the effect of stereo matching, the AD-Census algorithm is improved, and the MSD-Census algorithm fused with edge information is proposed to obtain better disparity information, which lays a foundation for the subsequent measurement of distribution box holes.