This paper presents a vehicle navigation and monitoring system scheme based on GIS/GPS/GPRS. The whole system consists of vehicle terminal and monitoring center, the monitoring center and the monitoring terminal compr...This paper presents a vehicle navigation and monitoring system scheme based on GIS/GPS/GPRS. The whole system consists of vehicle terminal and monitoring center, the monitoring center and the monitoring terminal comprises a communication server, communication server is only responsible for data storage and forwarding, the monitoring functions are completed by the monitoring terminal. Therefore, after the map matching, control terminal is performed on the device display to achieve real-time monitoring of vehicle location. The monitoring terminal can also be parameters of the moving vehicle accurate location, velocity and state the necessary query and transmission scheduling control instruction to carry out scientific scheduling and management, and improve operation efficiency. If the vehicle encountered an unexpected condition, harm or left the restricted area, it also can send alarm information to the monitoring terminal, and then the terminal can receive assistance and support in time.展开更多
The location monitoring of underground pipelines is of utmost significance as it helps the effective management and maintenance of the pipelines,and facilitates the planning of nearby projects,preventing damage to the...The location monitoring of underground pipelines is of utmost significance as it helps the effective management and maintenance of the pipelines,and facilitates the planning of nearby projects,preventing damage to the pipelines.However,currently there is a serious lack of data on the locations of underground pipelines.This paper proposes an image-based approach for monitoring the locations of underground pipelines by combing deep learning and visual-based reconstruction.The proposed approach can build the monitoring model for underground pipelines and characterize their locations through their centroid curve.Its advantages are:(1)simplicity:it only requires time-sequential images of the inner walls of underground pipelines;(2)clarity:the location model and the location curve of underground pipelines can be provided quickly;(3)robustness:it can cope with some existing problems in underground pipelines,such as light variations and small viewing angles.A lightweight approach for monitoring the locations of underground pipelines is achieved.The proposed approach’s effectiveness has been validated through laboratory simulation experiments,demonstrating accuracy at the millimeter level.展开更多
文摘This paper presents a vehicle navigation and monitoring system scheme based on GIS/GPS/GPRS. The whole system consists of vehicle terminal and monitoring center, the monitoring center and the monitoring terminal comprises a communication server, communication server is only responsible for data storage and forwarding, the monitoring functions are completed by the monitoring terminal. Therefore, after the map matching, control terminal is performed on the device display to achieve real-time monitoring of vehicle location. The monitoring terminal can also be parameters of the moving vehicle accurate location, velocity and state the necessary query and transmission scheduling control instruction to carry out scientific scheduling and management, and improve operation efficiency. If the vehicle encountered an unexpected condition, harm or left the restricted area, it also can send alarm information to the monitoring terminal, and then the terminal can receive assistance and support in time.
基金supported by the Fundamental Research Funds for the Central Universities(Grant No.2242023K5006).
文摘The location monitoring of underground pipelines is of utmost significance as it helps the effective management and maintenance of the pipelines,and facilitates the planning of nearby projects,preventing damage to the pipelines.However,currently there is a serious lack of data on the locations of underground pipelines.This paper proposes an image-based approach for monitoring the locations of underground pipelines by combing deep learning and visual-based reconstruction.The proposed approach can build the monitoring model for underground pipelines and characterize their locations through their centroid curve.Its advantages are:(1)simplicity:it only requires time-sequential images of the inner walls of underground pipelines;(2)clarity:the location model and the location curve of underground pipelines can be provided quickly;(3)robustness:it can cope with some existing problems in underground pipelines,such as light variations and small viewing angles.A lightweight approach for monitoring the locations of underground pipelines is achieved.The proposed approach’s effectiveness has been validated through laboratory simulation experiments,demonstrating accuracy at the millimeter level.
