Gas gathering and transmission pipelines are often located in high corrosion risk operating environments, which are prone to metal corrosion, perforation, and cause safety accidents and economic losses. Scientifically and reasonably predicting the corrosion rate of pipelines is an effective means to avoid corrosion perforation accidents. Therefore, a corrosion prediction method based on an internal detection database has been developed. This method is based on a self-built internal detection database for gas gathering pipelines, and the prediction of pipeline corrosion rate is achieved by establishing a wavelet neural network (WNN) model optimized by genetic algorithm (GA). The application results of the example show that the proposed GA-WNN corrosion rate prediction model has an average absolute error of 0.0106mm/a and an average relative error of 10.99%, with high accuracy. It can be used as a good tool for predicting the corrosion rate of gas gathering and transportation pipelines.
{"title":"Research and Application of a Corrosion Prediction Method Based on Internal Detection Database","authors":"Jie Shu, Lingfan Zhang, Dong Lin, Wenjie Cheng, Pengcheng Li, Wenli Wu","doi":"10.1109/ICPECA60615.2024.10471030","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10471030","url":null,"abstract":"Gas gathering and transmission pipelines are often located in high corrosion risk operating environments, which are prone to metal corrosion, perforation, and cause safety accidents and economic losses. Scientifically and reasonably predicting the corrosion rate of pipelines is an effective means to avoid corrosion perforation accidents. Therefore, a corrosion prediction method based on an internal detection database has been developed. This method is based on a self-built internal detection database for gas gathering pipelines, and the prediction of pipeline corrosion rate is achieved by establishing a wavelet neural network (WNN) model optimized by genetic algorithm (GA). The application results of the example show that the proposed GA-WNN corrosion rate prediction model has an average absolute error of 0.0106mm/a and an average relative error of 10.99%, with high accuracy. It can be used as a good tool for predicting the corrosion rate of gas gathering and transportation pipelines.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"73 1","pages":"521-525"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530476","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}
Pub Date : 2024-01-26DOI: 10.1109/ICPECA60615.2024.10471133
Habib Ur Rehman, Uwe Ritschel
The rapid growth of wind energy presents both opportunities and challenges for power systems. Sudden changes in wind speed can lead to fluctuations in power generation, making it challenging to match the supply with the demand in real-time. Due to fluctuating wind characteristics, incorporating power from the wind turbines in the electrical grid has an effect on the power quality. The long-term unpredictability of renewable energy source, like wind, makes a certain amount of energy storage necessary. Previous wind power systems are operating without storage techniques because of some technical concerns like grid has to be expanded, modernized, and one has to take measures to control or stabilize the grid during off peak and on peak load conditions. This has been done by implementing multi-source converter control topology. A multisource converter based battery storage system as a secondary power source is a good approach for making wind turbines dispatchable because of the fact that battery storage act as a constant voltage source by offering a quick response in either charging or discharging. In this research, a simulation model is developed in which a battery energy storage system integrated at the DC-link of a Type-4 wind turbine. A control system is designed to control the power output to the grid depending upon the grid power requirements and wind power production by charging or discharging the battery storage system while also keeping a stable DC-link voltage. The simulation results illustrate the control of DC-link integrated battery energy storage system at different set point wind speeds and set point grid power as well as with time-series wind data. At the end SOC permit control approach has also been illustrated. All of these have been analyzed in PSCAD/EMTDC simulation software.
{"title":"DC-Link Voltage Control and Power Management of BESS Integrated Wind Power System Using PSCAD","authors":"Habib Ur Rehman, Uwe Ritschel","doi":"10.1109/ICPECA60615.2024.10471133","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10471133","url":null,"abstract":"The rapid growth of wind energy presents both opportunities and challenges for power systems. Sudden changes in wind speed can lead to fluctuations in power generation, making it challenging to match the supply with the demand in real-time. Due to fluctuating wind characteristics, incorporating power from the wind turbines in the electrical grid has an effect on the power quality. The long-term unpredictability of renewable energy source, like wind, makes a certain amount of energy storage necessary. Previous wind power systems are operating without storage techniques because of some technical concerns like grid has to be expanded, modernized, and one has to take measures to control or stabilize the grid during off peak and on peak load conditions. This has been done by implementing multi-source converter control topology. A multisource converter based battery storage system as a secondary power source is a good approach for making wind turbines dispatchable because of the fact that battery storage act as a constant voltage source by offering a quick response in either charging or discharging. In this research, a simulation model is developed in which a battery energy storage system integrated at the DC-link of a Type-4 wind turbine. A control system is designed to control the power output to the grid depending upon the grid power requirements and wind power production by charging or discharging the battery storage system while also keeping a stable DC-link voltage. The simulation results illustrate the control of DC-link integrated battery energy storage system at different set point wind speeds and set point grid power as well as with time-series wind data. At the end SOC permit control approach has also been illustrated. All of these have been analyzed in PSCAD/EMTDC simulation software.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"123 9","pages":"776-781"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530360","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}
Pub Date : 2024-01-26DOI: 10.1109/ICPECA60615.2024.10470952
Jia Yuan, Yujun Liu, Dongbo Zhang
In this paper, we propose an improved adversarial generative mesh facial image restoration model that addresses problems such as protruding boundaries and blurred textures after repairing damaged areas in facial images. A multidimensional residual module and a self-attention module are used in the sublayer to improve the feature extraction capability. The generator and discriminator are alternately trained on the basis of the opponent loss function and the L1 loss function until the model becomes stable. Comparative experiments on CelebA-based datasets show that the constructed face retrieval algorithm performs better.
{"title":"Facial Image Restoration Algorithm Based on Generative Adversarial Networks","authors":"Jia Yuan, Yujun Liu, Dongbo Zhang","doi":"10.1109/ICPECA60615.2024.10470952","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10470952","url":null,"abstract":"In this paper, we propose an improved adversarial generative mesh facial image restoration model that addresses problems such as protruding boundaries and blurred textures after repairing damaged areas in facial images. A multidimensional residual module and a self-attention module are used in the sublayer to improve the feature extraction capability. The generator and discriminator are alternately trained on the basis of the opponent loss function and the L1 loss function until the model becomes stable. Comparative experiments on CelebA-based datasets show that the constructed face retrieval algorithm performs better.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"26 3","pages":"903-907"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530108","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}
The harmonic distortion of commutation voltage is one of the important factors that increase the risk of commutation failure. Efficient acquisition and analysis of time-varying harmonic data are crucial prerequisites for analyzing the trends in maximum commutation overlap area and predicting commutation failure. This paper proposes a real-time compression method for harmonic phasor measurement data to improve the harmonic data processing efficiency. Firstly, the characteristics of harmonic data and the phasor angle transformation method are analyzed. Subsequently, a data classification method is introduced, along with a precision-based normalization technique to handle data from different frequency components. Following this, differential coding and Golomb coding are adopted to process measurement data originating from identical frequency components. Finally, the compressed coding values of all frequency components at that moment are assembled. The compression algorithm is tested using a historical dataset of harmonic measurements from a high voltage direct current transmission station. The results demonstrate the method's superior capability in effectively compressing frequency, amplitude, and phasor angle values of the harmonic measurement data.
{"title":"A Real-Time Lossless Compression Method for Harmonic Phasor Measurement Data Based on Golomb Coding","authors":"Hao Jiao, Yuxuan Li, Qingpeng Wang, Baofeng Shan, Yiming Zeng, Zongshuai Jin","doi":"10.1109/ICPECA60615.2024.10471185","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10471185","url":null,"abstract":"The harmonic distortion of commutation voltage is one of the important factors that increase the risk of commutation failure. Efficient acquisition and analysis of time-varying harmonic data are crucial prerequisites for analyzing the trends in maximum commutation overlap area and predicting commutation failure. This paper proposes a real-time compression method for harmonic phasor measurement data to improve the harmonic data processing efficiency. Firstly, the characteristics of harmonic data and the phasor angle transformation method are analyzed. Subsequently, a data classification method is introduced, along with a precision-based normalization technique to handle data from different frequency components. Following this, differential coding and Golomb coding are adopted to process measurement data originating from identical frequency components. Finally, the compressed coding values of all frequency components at that moment are assembled. The compression algorithm is tested using a historical dataset of harmonic measurements from a high voltage direct current transmission station. The results demonstrate the method's superior capability in effectively compressing frequency, amplitude, and phasor angle values of the harmonic measurement data.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"10 1","pages":"660-664"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530121","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}
Pub Date : 2024-01-26DOI: 10.1109/ICPECA60615.2024.10471011
S. He, Linlin Shi
This article focuses on the problem of fault monitoring and diagnosis in small array systems. We analyzed the composition of the small array system and BIT settings, and proposed a modeling sensitive parameter set for system health management. Based on the fault sensitive parameter set, we provide a feature processing method and process for sensitive parameters. We use machine learning classification methods and time series methods to diagnose and predict faults in small array systems, respectively, achieving high classification and prediction accuracy. The data analysis results indicate that using data-driven small array systems for monitoring and prediction has good engineering application prospects.
本文重点讨论了小型阵列系统的故障监测和诊断问题。我们分析了小型阵列系统的组成和 BIT 设置，提出了用于系统健康管理的建模敏感参数集。基于故障敏感参数集，我们提供了敏感参数的特征处理方法和流程。我们利用机器学习分类方法和时间序列方法分别对小型阵列系统进行故障诊断和预测，取得了较高的分类和预测精度。数据分析结果表明，利用数据驱动的小型阵列系统进行监测和预测具有良好的工程应用前景。
{"title":"Research on Online Monitoring and Prediction Technology of Signal Processing Devices in Small Array Systems","authors":"S. He, Linlin Shi","doi":"10.1109/ICPECA60615.2024.10471011","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10471011","url":null,"abstract":"This article focuses on the problem of fault monitoring and diagnosis in small array systems. We analyzed the composition of the small array system and BIT settings, and proposed a modeling sensitive parameter set for system health management. Based on the fault sensitive parameter set, we provide a feature processing method and process for sensitive parameters. We use machine learning classification methods and time series methods to diagnose and predict faults in small array systems, respectively, achieving high classification and prediction accuracy. The data analysis results indicate that using data-driven small array systems for monitoring and prediction has good engineering application prospects.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"45 10","pages":"8-12"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530437","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}
In hybrid AC/DC grids, a bus conversion system comprising of electromagnetic interference (EMI) filters and bidirectional converters is required to ensure energy transmission between DC and AC buses. However, the cascaded system often introduces additional stability problems, which impede the reliable operation of hybrid AC/DC grids. To solve the problem, this paper investigates the cascaded stability of the bus conversion system in hybrid AC/DC grids, and the input impedance of a single-phase inverter is modeled using the harmonic linearization method. The Middlebrook criterion is utilized to determine system stability. Finally, a simulation model is constructed by Matlab/Simulink to validate the analysis conclusion.
{"title":"Harmonic-Domain Impedance Modeling and Stability Analysis of Single-Phase Inverters","authors":"Longxiang You, Sicong Jin, Xin Zhang, Fang Wu, Yongmao Wang, Peng Li","doi":"10.1109/ICPECA60615.2024.10471156","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10471156","url":null,"abstract":"In hybrid AC/DC grids, a bus conversion system comprising of electromagnetic interference (EMI) filters and bidirectional converters is required to ensure energy transmission between DC and AC buses. However, the cascaded system often introduces additional stability problems, which impede the reliable operation of hybrid AC/DC grids. To solve the problem, this paper investigates the cascaded stability of the bus conversion system in hybrid AC/DC grids, and the input impedance of a single-phase inverter is modeled using the harmonic linearization method. The Middlebrook criterion is utilized to determine system stability. Finally, a simulation model is constructed by Matlab/Simulink to validate the analysis conclusion.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"47 4","pages":"552-556"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530501","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}
Pub Date : 2024-01-26DOI: 10.1109/ICPECA60615.2024.10470965
Zhihua Xu
This paper uses mobile network mode to develop and model Python crawler based on Ubuntu16.04 and CUDA9.0. The visualization of this pattern was achieved using Tensor Board software. The hardware design of the system consists of three modules: linear array CCD sensor, DSP processor and signal processing circuit. Through the reconstruction and learning of such models, the trained models are stored, so as to obtain higher precision image recognition. A method of classifying objects using Fourier description operators is proposed. The experimental results show that the accuracy of the image is 96.8% and the recognition time is 0.55 seconds. Motion tracking is based on the positioning and capture of the specific position of the human hand in each screen, and the captured frame rate is 28 frames per second. The system can quickly acquire images of 1024*1500 pixels at a rate of 5 photos/second. Through the static identification of posture and tracking of motion trajectory, the interaction between human and machine is better.
{"title":"Research on Image Recognition System Based on Computer Artificial Intelligence Technology","authors":"Zhihua Xu","doi":"10.1109/ICPECA60615.2024.10470965","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10470965","url":null,"abstract":"This paper uses mobile network mode to develop and model Python crawler based on Ubuntu16.04 and CUDA9.0. The visualization of this pattern was achieved using Tensor Board software. The hardware design of the system consists of three modules: linear array CCD sensor, DSP processor and signal processing circuit. Through the reconstruction and learning of such models, the trained models are stored, so as to obtain higher precision image recognition. A method of classifying objects using Fourier description operators is proposed. The experimental results show that the accuracy of the image is 96.8% and the recognition time is 0.55 seconds. Motion tracking is based on the positioning and capture of the specific position of the human hand in each screen, and the captured frame rate is 28 frames per second. The system can quickly acquire images of 1024*1500 pixels at a rate of 5 photos/second. Through the static identification of posture and tracking of motion trajectory, the interaction between human and machine is better.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"104 2","pages":"1023-1027"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530364","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}
Pub Date : 2024-01-26DOI: 10.1109/ICPECA60615.2024.10470938
Yang Zhang
Dragonflies are considered to be one of the insects with simple and efficient flight behaviors, which makes them the prototype of many biomimetic designs for microlight vehicles. The excellent flight characteristics of dragonflies are inseparable from the characteristics of their wings, which only use 3 % of the total mass of their body to provide the power needed for their flight attitudes, which shows the advantages of the mechanical properties of their wings. It can not only withstand a variety of loads during the flight process, but also to maintain efficient flight characteristics. Therefore, it is necessary to study the mechanical properties and bionic optimization of dragonfly wings. In this work, we take the flight of dragonfly as the research object, and design a bionic dragonfly flapping wing vehicle based on a two-stage single crank rocker mechanism. In addition, we focus on the excellent mechanical properties of dragonfly wings in terms of anterior-posterior phase difference, wing vein structure, wing membrane structure, etc., and design two pairs of wings with strong load-bearing capacity and good tear-resistant capacity, with an anterior-posterior phase difference of 45 degrees, and a maximum wingspan of 25 cm. Finally, the head and body of the dragonfly are fabricated by 3D printing technology according to the dragonfly's shape structure, with the overall mass of 90 g. The structure is lightweight, and the flight is easy. The overall mass is 90g, and the structure is lightweight and easy to fly.
{"title":"Design of a Bionic Dragonfly Robot Based on a Two-Stage Single Crank Rocker Mechanism","authors":"Yang Zhang","doi":"10.1109/ICPECA60615.2024.10470938","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10470938","url":null,"abstract":"Dragonflies are considered to be one of the insects with simple and efficient flight behaviors, which makes them the prototype of many biomimetic designs for microlight vehicles. The excellent flight characteristics of dragonflies are inseparable from the characteristics of their wings, which only use 3 % of the total mass of their body to provide the power needed for their flight attitudes, which shows the advantages of the mechanical properties of their wings. It can not only withstand a variety of loads during the flight process, but also to maintain efficient flight characteristics. Therefore, it is necessary to study the mechanical properties and bionic optimization of dragonfly wings. In this work, we take the flight of dragonfly as the research object, and design a bionic dragonfly flapping wing vehicle based on a two-stage single crank rocker mechanism. In addition, we focus on the excellent mechanical properties of dragonfly wings in terms of anterior-posterior phase difference, wing vein structure, wing membrane structure, etc., and design two pairs of wings with strong load-bearing capacity and good tear-resistant capacity, with an anterior-posterior phase difference of 45 degrees, and a maximum wingspan of 25 cm. Finally, the head and body of the dragonfly are fabricated by 3D printing technology according to the dragonfly's shape structure, with the overall mass of 90 g. The structure is lightweight, and the flight is easy. The overall mass is 90g, and the structure is lightweight and easy to fly.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"10 12","pages":"1256-1260"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530140","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}
Pub Date : 2024-01-26DOI: 10.1109/ICPECA60615.2024.10471145
Yinglong Ding, Lu Liu, Bin Wang, Xiaokun Lin, Shuoshuo Zhu, Peng Cheng
A low noise capacitance-coupled chopper instrument amplifier for biological signal acquisition is presented. The chopper modulation technique is used to effectively suppress the 1/f noise of the circuit, and a positive feedback loop (PFL) is added to significantly improve the AC equivalent input impedance of the circuit. In addition, a DC servo loop (DSL) with selectable switching is added to eliminate the DC misalignment introduced by the electrodes up to 50mV. The instrumentation amplifier is realized in a 40nm CMOS process. The total current consumed at a 1.2V supply is 4μA. Simulation show that the CMRR and PSRR of the circuit are 87dB and 73dB respectively, and integration noise is 0.8μVrms in the range of 0.5 to 1kHz.
{"title":"A Low Noise, Low Power Capacitor Chopper Instrumentation Amplifier in 40nm CMOS for Biological Signal Acquisition","authors":"Yinglong Ding, Lu Liu, Bin Wang, Xiaokun Lin, Shuoshuo Zhu, Peng Cheng","doi":"10.1109/ICPECA60615.2024.10471145","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10471145","url":null,"abstract":"A low noise capacitance-coupled chopper instrument amplifier for biological signal acquisition is presented. The chopper modulation technique is used to effectively suppress the 1/f noise of the circuit, and a positive feedback loop (PFL) is added to significantly improve the AC equivalent input impedance of the circuit. In addition, a DC servo loop (DSL) with selectable switching is added to eliminate the DC misalignment introduced by the electrodes up to 50mV. The instrumentation amplifier is realized in a 40nm CMOS process. The total current consumed at a 1.2V supply is 4μA. Simulation show that the CMRR and PSRR of the circuit are 87dB and 73dB respectively, and integration noise is 0.8μVrms in the range of 0.5 to 1kHz.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"65 1","pages":"848-852"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530298","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}
Pub Date : 2024-01-26DOI: 10.1109/ICPECA60615.2024.10471160
Shujian Zhang
In recent years, with the popularity of the global positioning System, we have obtained a large amount of trajectory data due to the driving trajectory and the personal user's check-in information on the social network. Trajectory data can be understood as a curve formed in time sequence on a two-dimensional map during the movement of a moving object. Researchers analyze the location, destination and driving conditions of the moving object through trajectory data mining technology. However, it is difficult to analyze the group characteristics of moving objects only through the motion trajectory of a single moving object, so the concept of pattern mining is proposed. This paper focuses on the accuracy and efficiency of mobile object aggregation pattern mining. A clustering pattern mining method based on locus clustering is proposed. Firstly, the density-based clustering algorithm is used for spatial clustering of moving objects, and then the moving object clustering is used to form the spatiotemporal graph. Finally, according to the spatiotemporal graph, the clustering pattern mining algorithm is used to find the moving object clustering set that satisfies the spatiotemporal constraints accurately. This method introduces a spatiotemporal graph data model, which is composed of clusters of moving objects. Each node in the graph contains not only the information of the moving objects that make up the cluster, but also the formation time and position of the corresponding cluster, and each edge records the spatiotemporal relationship between the two clusters. The spatiotemporal graph can accurately reflect the spatiotemporal change characteristics of moving object clustering, and accurately analyze the clustering pattern. Based on the spatiotemporal graph, the algorithm GR is proposed to mine the aggregation pattern of moving objects, which can mine the aggregation pattern according to time and space information. The experimental results show that the proposed method is more accurate than the existing methods.
{"title":"Research on Motion Pattern Mining and Visualization of Moving Objects Based on Trajectory Data","authors":"Shujian Zhang","doi":"10.1109/ICPECA60615.2024.10471160","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10471160","url":null,"abstract":"In recent years, with the popularity of the global positioning System, we have obtained a large amount of trajectory data due to the driving trajectory and the personal user's check-in information on the social network. Trajectory data can be understood as a curve formed in time sequence on a two-dimensional map during the movement of a moving object. Researchers analyze the location, destination and driving conditions of the moving object through trajectory data mining technology. However, it is difficult to analyze the group characteristics of moving objects only through the motion trajectory of a single moving object, so the concept of pattern mining is proposed. This paper focuses on the accuracy and efficiency of mobile object aggregation pattern mining. A clustering pattern mining method based on locus clustering is proposed. Firstly, the density-based clustering algorithm is used for spatial clustering of moving objects, and then the moving object clustering is used to form the spatiotemporal graph. Finally, according to the spatiotemporal graph, the clustering pattern mining algorithm is used to find the moving object clustering set that satisfies the spatiotemporal constraints accurately. This method introduces a spatiotemporal graph data model, which is composed of clusters of moving objects. Each node in the graph contains not only the information of the moving objects that make up the cluster, but also the formation time and position of the corresponding cluster, and each edge records the spatiotemporal relationship between the two clusters. The spatiotemporal graph can accurately reflect the spatiotemporal change characteristics of moving object clustering, and accurately analyze the clustering pattern. Based on the spatiotemporal graph, the algorithm GR is proposed to mine the aggregation pattern of moving objects, which can mine the aggregation pattern according to time and space information. The experimental results show that the proposed method is more accurate than the existing methods.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"73 3","pages":"1160-1164"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530293","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}
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