Kai Chen, Kun Peng, Yue Zhu, Wenhui Shi, Yewei Jie, Zhongjie Wang, Jiafeng Sheng, Jiahan Tang
{"title":"A Meter Replacing Assist Device without Power Outages Based on SCR Bypass","authors":"Kai Chen, Kun Peng, Yue Zhu, Wenhui Shi, Yewei Jie, Zhongjie Wang, Jiafeng Sheng, Jiahan Tang","doi":"10.1109/ICARCE55724.2022.10046596","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046596","url":null,"abstract":"Frequent power outages for meter replacement have a negative impact on some customers' normal electricity consumption, can even result in considerable financial losses for specific customers, and raise consumer complaints, so it is necessary to research technologies that can replace meters without power outages. The new type of meter box with the special wiring base plate and plug-in increases the cost of the meter box and is difficult for installed users to apply. The use of consumable type piercing tools destroys the insulation of the original wires, has a certain depletion of materials, and lacks intelligence. The bypass circuit controlled by the contactor will destroy the leakage protector in the meter box due to inconsistencies in the contactor contacts. In this study, we analyze the phenomena whereby the contactor's direct bypass destroys the leakage protector. We create a silicon-controlled auxiliary device that allows users to replace the meter without power outages. We design a non-intrusive bypass fixture for the meter box's air switch. TMS320F28335 regulates the bypass circuit's SCR group. The device's features include reuseability, seamless transition from the main circuit to the bypass circuit, metering and protection when the bypass is converted to supply, and the ability to replace meters without power outages without electricity. The function of the device has been verified in both laboratory tests and field meter replacement work, and can be promoted in the work of low voltage distribution grid meter replacement.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124807625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fuse GPS Course Angle with Quaternion to Improve GPS/IMU-based Velocity Estimation Accuracy","authors":"Liangxin Yuan, Hao Chen, Yuanyuan Wang, X. Lian","doi":"10.1109/ICARCE55724.2022.10046582","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046582","url":null,"abstract":"The potential unobservability of the yaw angle in the vehicle velocity estimation based on the low-cost GPS/IMU reduces the estimation accuracy. In contrast, the fusion with the GPS course angle (GCA) can significantly rectify the observability of the yaw angle, thus enhancing the accuracy and robustness of the estimations. Because the GCA contains partial attitude information, it is difficult to directly fuse the GCA with the quaternion, which is a deterministic attitude representation. To solve this problem, the vehicle velocity estimation error state equation based on GPS/IMU is firstly built in the vehicle coordinate system. Furthermore, during the measurement update, the prior estimation of roll and pitch angles and the measured GCA are combined to form a pseudo-attitude, which can be used to realize the fusion of the GCA and the quaternion in the error state-space. The vehicle test results indicate that the fusion of GCA substantially improves the velocity estimation accuracy.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129802699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An End-to-End Model for Printed Uyghur Text Recognition","authors":"Zhiwei You, Qiong Li, Chuang Liu","doi":"10.1109/ICARCE55724.2022.10046535","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046535","url":null,"abstract":"The recognition method based on the end-to-end model has a wide range of applications in Chinese and English text recognition, but there are few researches of Uygur text recognition. Using the end-to-end method can effectively avoid the wrong recognition problem caused by the mis-segmentation of Uyghur letters. Based on the Transformer model, we propose a model named EfficientNet-Transformer for printed Uyghur text recognition. By replacing the SE attention of EfficientNet with Triplet attention, the computing ability of the network for spatial and channel attention is improved. The encoder of the original Transformer model is replaced by an improved EfficientNet, which makes the model simpler and fewer parameters. The dataset is expanded by synthesizing words through Uyghur syllable rules, and comparative experiments are carried out on this dataset by using our model with other’s RNN-based model. Experiments show this model is superior to others models in Character error rate, recognition speed and space occupation.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116801903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haoming Song, Wenlong Xia, Jiaheng Kang, Shenli Zhang, Cheng Ye, Weidong Kang, Teoh Teik Toe
{"title":"Underwater Image Enhancement Method Based on Dark Channel Prior and Guided Filtering","authors":"Haoming Song, Wenlong Xia, Jiaheng Kang, Shenli Zhang, Cheng Ye, Weidong Kang, Teoh Teik Toe","doi":"10.1109/ICARCE55724.2022.10046569","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046569","url":null,"abstract":"This paper presents a comprehensive enhancement method based upon Underwater Dark Channel Prior (UDCP) and Guided Filtering for standard RGB underwater images without depth information. Firstly, color compensation and Gray World Algorithm are used to correct the color of images obtained underwater. After that, the restored image is dehazed by using the optimized dehazing algorithm created on UDCP. The dehazing algorithm proposed in this study is obtained by reconstructing the ambient light transmittance expression in UDCP. It effectively avoids the “excessive dehazing” caused by traditional dehazing algorithms, and it can also optimize the depth of field of dehazed images. At the same time, due to the complexity of underwater dark channel image dehazing, the dehazed image will still produce fuzzy white areas in zones with large pixel color difference changes (such as the boundary of objects). Therefore, our method adds an image fusion approach built upon guided filtering to optimize the dehazed image to eliminate the white areas to enhance the image clarity further. At last, this paper compares the image enhancement effect of our method with that of other four methods such as Unified Generative Adversarial Networks (UGAN) by using five objective image evaluation indexes such as Underwater Color Image Quality Evaluation (UCIQE).","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129535036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on the Design of a Sensor-based Firefighters Safety Guardian System","authors":"Yonglin Xiang, Man Wang, Shanshan Liu, Xixi Xiong, Jiaye Luo, Junhui Xiao","doi":"10.1109/ICARCE55724.2022.10046554","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046554","url":null,"abstract":"In order to ensure the safety of firefighters who have deepened the fire on the fire, a firefighter security guard system based on sensor technology was designed. This device can monitor the live signs of firefighters and harmful gases and upload firefighter signs and harmful gas concentrations data to the system to view and control. The detection data exceeds the preset threshold to send an early warning signal to the firefighters and the mobile terminal. By testing in different environments, the temperature, heart rate, and harmful gas concentration measured by the system are very accurate, and the changes in the concentration of harmful gases are very sensitive.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129526924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"3D gated Imaging Using a Unet Model","authors":"Siqing Zhang, Xiaoquan Liu","doi":"10.1109/ICARCE55724.2022.10046538","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046538","url":null,"abstract":"Range gated 3D imaging is widely used in space imaging, distance measurement, automatic driving and other application scenarios. A range gated 3D imaging system based on neural network is proposed. The system inputs three range gated images through convolutional neural network, and then outputs a depth map. A single convolutional neural network is proposed to process range gated images, and a multi-scale loss function is used. The test results on the real data set of outdoor driving show that the model trained on the GPU(graphics processing unit) in this paper realizes range gated 3D imaging.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"8 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120883812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of Research Status and Development Trend of Industrial Robot Based on Knowledge Map","authors":"Lanping Li, Yu Zhao, Yuzhe Xu","doi":"10.1109/ICARCE55724.2022.10046576","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046576","url":null,"abstract":"In recent years, the literature in the field of industrial robot research has increased significantly, but these literatures have not been systematically and quantitatively summarized. Based on the scientific knowledge map, this paper uses China National Knowledge Infrastructure (CNKI) database and Web of Science (WOS) core database 1990-2022 industrial robot related literature as the data base, and uses CiteSpace literature visualization software to analyze the countries, institutions, keywords, etc. of the extracted literature, so as to obtain the corresponding visual knowledge map. Through the interpretation of the visual knowledge map, researchers in the field of industrial robot research can have a more overall and macro grasp of the research history, research status, development trend, etc. in this field.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123161968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Oil Paper Insulation State Evaluation Method Integrating Fuzzy K-Nearest Neighbor and D-S Proof Theory","authors":"Guangyong Chen, Yongqin Ke","doi":"10.1109/ICARCE55724.2022.10046550","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046550","url":null,"abstract":"In order to realize the accurate evaluation of transformer oil paper insulation state, this paper proposes the evaluation method of integrating Fuzzy K-Nearest Neighbor (FKNN) and D-S evidence theory. Firstly, the multi-characteristic parameter database of reply voltage method is constructed based on the measured data of reply voltage method transformer. Then, for the database, a basic probability allocation method based on FKNN is proposed to reduce the influence of subjective factors. Finally, each evidence is integrated through the D-S evidence theory to obtain confidence results for the insulating state proposition, which avoids the limitations of individual feature parameter evaluation. Using the proposed method of the transformer measured data of the database, the results show that the method of the confidence results can not only accurately reflect the transformer oil paper insulation state, provide guidance for the maintenance strategy, and can reflect the deterioration trend of transformer oil paper insulation to a certain extent.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128805273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Computer Aided Research on Efficient Simulation Prediction and Anti-Deformation Suppression Method for Aviation Panel Riveting Deformation","authors":"Yonggang Chen, Yonggang Kang, Tianyu Wang, Huantian Xiao","doi":"10.1109/ICARCE55724.2022.10046645","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046645","url":null,"abstract":"Aviation panel structure is a typical assembly of aircraft. During the assembly process of metal panel, the inherent forming and connecting characteristics of the riveting process will cause macroscopic deformation such as local subsidence and overall bending moment of the panel, resulting in difficulty in the assembly and coordination of subsequent components. This paper takes the riveting process of the panel with L-shaped stringer applied in an aviation cabin as the research object, the deformation reasons of the L-shaped stringer aviation plate structure are analyzed, and the finite element solid model of the riveting process is established. On this basis, a temperature field equivalent model is proposed, which greatly improves the computational efficiency. Further, a set of anti-deformation active suppression methods for riveted assembly deformation of aeronautical panel structures are proposed for the actual assembly scene, then, the effectiveness of the method is verified by simulation examples and experimental studies.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127437533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Aging Condition Evaluation of Oil Paper Insulation Based on Adaboost Algorithm","authors":"Yongqin Ke, Min Li, He Zhuang","doi":"10.1109/ICARCE55724.2022.10046577","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046577","url":null,"abstract":"Aging is a critical element influencing the insulation Characteristics of transformers, and is a key link to maintain the balanced work of the power system. To more accurately and comprehensively assess the aging extent of the transformer, this paper deeply analyzed the change mechanism of FDS spectral lines with different aging degrees, and extracted three frequency domain characteristics significantly related to the aging degree of the transformer from the spectral lines for subsequent aging degree evaluation. Then based on adaboost algorithm, the aging degree of transformer was evaluated. The conclusions show that the root mean square error of the proposed model is significantly reduced compared with other models, which fully verifies the accuracy of the model built in this paper.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124438976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}