Cathodic Protection system is an efficient system used for protecting the underground metal objects from corrosion. In this paper the use of Cathodic Protection (CP) system and how they can be developed to simulate co...Cathodic Protection system is an efficient system used for protecting the underground metal objects from corrosion. In this paper the use of Cathodic Protection (CP) system and how they can be developed to simulate corrosion control solution was illustrated. The aim of developing a Cathodic Protection system is to provide control over oil pipelines and to reduce the incidence of corrosion. The proposed system integrates the technology of wireless sensor Network (WSN) in order to collect potential data and to realize remote data transmission. In this system each WSN receives the data from the environment and forwards it to a Remote Terminal Unit (RTU). Then each RTU forwards it to its base station (BS). In this work Labview 2010 program was used, due to its high potentials. In addition it contains a Tool Kit that supports the wireless sensor network. In this simulation used many cases study to test and monitoring data and get optimum results, least time delay and high speed to prevent corrosion.展开更多
Land use/land cover (LULC) mapping and change detection are fundamental aspects of remote sensing data application. Therefore, selecting an appropriate classifier approach is crucial for accurate classification and ch...Land use/land cover (LULC) mapping and change detection are fundamental aspects of remote sensing data application. Therefore, selecting an appropriate classifier approach is crucial for accurate classification and change assessment. In the first part of this study, the performance of machine learning classification algorithms was compared using Landsat 9 image (2023) of the Manouba government (Tunisia). Three different classification methods were applied: Maximum Likelihood Classification (MLC), Support Vector Machine (SVM), and Random Trees (RT). The classification aimed to identify five land use classes: urban area, vegetation, bare area, water and forest. A qualitative assessment was conducted using Overall Accuracy (OA) and the Kappa coefficient (K), derived from a confusion matrix. The results of the land cover classification demonstrated a high level of accuracy. The SVM method exhibited the best performance, with an overall accuracy of 93% and a kappa accuracy of 0.9. The ML method is the second-best classifier with an overall accuracy of 92% and a kappa accuracy of 0.88. The Random Trees method yielded the lowest accuracy among the three approaches, with an overall accuracy of 91% and a kappa accuracy of 0.87. The second part of the study focused on analyzing LULC changes in the study area. Based on the classification results, the SVM method was chosen to classify the Landsat 7 image acquired in 2000. LULC changes from 2000 to 2023 were investigated using change detection comparison. The findings indicate that over the last 23 years, vegetation land and urban areas in the study area have experienced significant increases of 31.94% and 5.47%, respectively. This study contributed to a better understanding of the classification process and dynamic LULC changes in the Manouba region. It provided valuable insights for decision-makers in planning land conservation and management.展开更多
通用远程终端单元(Remote Terminal Unit,RTU)以透传方式实现异构网络互连,缺乏对于油井工况采集参数的多样性与油田数据采集与监视控制系统(Supervisory Control And Data Acquisition,SCADA)通信的考虑,无法直接接入SCADA系统。为此,...通用远程终端单元(Remote Terminal Unit,RTU)以透传方式实现异构网络互连,缺乏对于油井工况采集参数的多样性与油田数据采集与监视控制系统(Supervisory Control And Data Acquisition,SCADA)通信的考虑,无法直接接入SCADA系统。为此,基于消息队列和ModBus通信技术提出了一种油井工况多参数传输系统RTU的设计方案。首先,采用消息队列机制实现了多油井、多类型的采样数据分组异步传输。其次,RTU实现采集协议和上传接入协议间的转换,实现ModBus Slaver通信,提供ModBus TCP和ModBus RTU两种SCADA接入方式。最后,使用分层思想设计一致的通信接口,以屏蔽底层通信技术的多样性,提高RTU的通用性。现场应用结果表明,该方案不仅可以完成现场无线仪表无缝接入SCADA上位机系统,而且可以满足系统多接口、可重用、易扩展等方面的需求。展开更多
文摘Cathodic Protection system is an efficient system used for protecting the underground metal objects from corrosion. In this paper the use of Cathodic Protection (CP) system and how they can be developed to simulate corrosion control solution was illustrated. The aim of developing a Cathodic Protection system is to provide control over oil pipelines and to reduce the incidence of corrosion. The proposed system integrates the technology of wireless sensor Network (WSN) in order to collect potential data and to realize remote data transmission. In this system each WSN receives the data from the environment and forwards it to a Remote Terminal Unit (RTU). Then each RTU forwards it to its base station (BS). In this work Labview 2010 program was used, due to its high potentials. In addition it contains a Tool Kit that supports the wireless sensor network. In this simulation used many cases study to test and monitoring data and get optimum results, least time delay and high speed to prevent corrosion.
文摘Land use/land cover (LULC) mapping and change detection are fundamental aspects of remote sensing data application. Therefore, selecting an appropriate classifier approach is crucial for accurate classification and change assessment. In the first part of this study, the performance of machine learning classification algorithms was compared using Landsat 9 image (2023) of the Manouba government (Tunisia). Three different classification methods were applied: Maximum Likelihood Classification (MLC), Support Vector Machine (SVM), and Random Trees (RT). The classification aimed to identify five land use classes: urban area, vegetation, bare area, water and forest. A qualitative assessment was conducted using Overall Accuracy (OA) and the Kappa coefficient (K), derived from a confusion matrix. The results of the land cover classification demonstrated a high level of accuracy. The SVM method exhibited the best performance, with an overall accuracy of 93% and a kappa accuracy of 0.9. The ML method is the second-best classifier with an overall accuracy of 92% and a kappa accuracy of 0.88. The Random Trees method yielded the lowest accuracy among the three approaches, with an overall accuracy of 91% and a kappa accuracy of 0.87. The second part of the study focused on analyzing LULC changes in the study area. Based on the classification results, the SVM method was chosen to classify the Landsat 7 image acquired in 2000. LULC changes from 2000 to 2023 were investigated using change detection comparison. The findings indicate that over the last 23 years, vegetation land and urban areas in the study area have experienced significant increases of 31.94% and 5.47%, respectively. This study contributed to a better understanding of the classification process and dynamic LULC changes in the Manouba region. It provided valuable insights for decision-makers in planning land conservation and management.
文摘通用远程终端单元(Remote Terminal Unit,RTU)以透传方式实现异构网络互连,缺乏对于油井工况采集参数的多样性与油田数据采集与监视控制系统(Supervisory Control And Data Acquisition,SCADA)通信的考虑,无法直接接入SCADA系统。为此,基于消息队列和ModBus通信技术提出了一种油井工况多参数传输系统RTU的设计方案。首先,采用消息队列机制实现了多油井、多类型的采样数据分组异步传输。其次,RTU实现采集协议和上传接入协议间的转换,实现ModBus Slaver通信,提供ModBus TCP和ModBus RTU两种SCADA接入方式。最后,使用分层思想设计一致的通信接口,以屏蔽底层通信技术的多样性,提高RTU的通用性。现场应用结果表明,该方案不仅可以完成现场无线仪表无缝接入SCADA上位机系统,而且可以满足系统多接口、可重用、易扩展等方面的需求。
