scholarly journals RIVER MAINTENANCE MANAGEMENT SYSTEM USING THREE-DIMENSIONAL UAV DATA IN JAPAN

2016 ◽  
Vol IV-2/W1 ◽  
pp. 93-98 ◽  
Author(s):  
S. Kubota ◽  
Y. Kawai
Keyword(s):  
Human Resources ◽  
Unmanned Aerial Vehicle ◽  
Management System ◽  
Three Dimensional ◽  
Heavy Rain ◽  
River Management ◽  
Maintenance Management ◽  
Running Water ◽  
Operation And Maintenance ◽  
Aerial Vehicle

River administration facilities such as levees and river walls play a major role in preventing flooding due to heavy rain. The forms of such facilities must be constantly monitored for alteration due to rain and running water, and limited human resources and budgets make it necessary to efficiently maintain river administration facilities. During maintenance, inspection results are commonly recorded on paper documents. Continuous inspection and repair using information systems are an on-going challenge. This study proposes a maintenance management system for river facilities that uses three-dimensional data to solve these problems and make operation and maintenance more efficient. The system uses three-dimensional data to visualize river facility deformation and its process, and it has functions that visualize information about river management at any point in the three-dimensional data. The threedimensional data is generated by photogrammetry using a camera on an Unmanned Aerial Vehicle.

scholarly journals ACCURACY VALIDATION OF POINT CLOUDS OF UAV PHOTOGRAMMETRY AND ITS APPLICATION FOR RIVER MANAGEMENT

2017 ◽  
Vol XLII-2/W6 ◽  
pp. 195-199 ◽  
Author(s):  
S. Kubota ◽  
Y. Kawai ◽  
R. Kadotani
Keyword(s):  
Human Resources ◽  
Three Dimensional ◽  
Heavy Rain ◽  
Point Clouds ◽  
River Management ◽  
Maintenance Management ◽  
Running Water ◽  
Operation And Maintenance ◽  
Aerial Vehicle ◽  
Accuracy Validation

River administration facilities such as levees and river walls play a major role in preventing flooding due to heavy rain. The forms of such facilities must be constantly monitored for alteration due to rain and running water, and limited human resources and budgets make it necessary to efficiently maintain river administration facilities. During maintenance, inspection results are commonly recorded on paper documents. Continuous inspection and repair using information systems are an on-going challenge. This study proposes a maintenance management system for river facilities that uses three-dimensional data to solve these problems and make operation and maintenance more efficient. The system uses three-dimensional data to visualize river facility deformation and its process, and it has functions that visualize information about river management at any point in the three-dimensional data. The three-dimensional data is generated by photogrammetry using a camera on an Unmanned Aerial Vehicle.

The Design of Operation and Maintenance Management System about IT Platform Based on Tivoli

2014 ◽  
Vol 599-601 ◽  
pp. 2215-2219 ◽  
Author(s):  
Fen Su Shi ◽  
Yang Zhou ◽  
Pan Shi
Keyword(s):  
Management System ◽  
Process Management ◽  
Maintenance Management ◽  
It Infrastructure ◽  
Event Management ◽  
Management Platform ◽  
Operation And Maintenance ◽  
Passive Response ◽  
Maintenance Work ◽  
Storage Networks

At present, many domestic industries don’t have perfect operation and maintenance management systems for their IT platform. Most of the daily maintenance work is passive response after the problem occurred rather than discovery in advance, which will bring the potential risks to IT system running smoothly. Therefore it is necessary to monitor and manage the existing IT core equipment, to improve the security and stability of the core production and enhance the satisfaction of business department. In addition, through the establishment of an association between centralized monitoring and process management platform, the system standardizes the operational work, and improves work efficiency.Maintenance management system based on Tivoli[1] is mainly to complete the monitoring and management of the IT infrastructure, used in finance, electric power, chemical and other industries, which includes room infrastructure, storage, networks, systems, databases and middleware. On one hand, the system centralizes event management platform integrates events from various aspects of the IT infrastructure, takes a rich deal and then provides intuitive monitoring for operational management. Moreover it integrates process management platform so as to complete creating work orders, processing and other operations. On the other hand, the system will integrate the monitoring results of existing business into the monitoring interface, and implements IT knowledge sharing.

Path Planning Scheme for Collision Avoidance in Unmanned Aerial Vehicle Traffic Management System

2021 ◽  
Author(s):  
Amaanullah ◽  
Muhammed Ahmed Lamba ◽  
Surya Prakash S ◽  
Shrikant S. Tangade ◽  
Syed Sehraab Nawaz ◽  
...  
Keyword(s):  
Path Planning ◽  
Collision Avoidance ◽  
Unmanned Aerial Vehicle ◽  
Traffic Management ◽  
Management System ◽  
Vehicle Traffic ◽  
Planning Scheme ◽  
Aerial Vehicle ◽  
Traffic Management System

scholarly journals PRELIMINARY EVALUATION OF ATMOSPHERIC TEMPERATURE AND WIND PROFILES OBTAINED USING UNMANNED AERIAL VEHICLE BASED ACOUSTIC TOMOGRAPHY

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 283-287 ◽  
Author(s):  
A. Finn ◽  
K. Rogers ◽  
J. Meade ◽  
J. Skinner ◽  
A. Zargarian
Keyword(s):  
Wind Velocity ◽  
Unmanned Aerial Vehicle ◽  
Sound Speed ◽  
Three Dimensional ◽  
Atmospheric Temperature ◽  
Preliminary Evaluation ◽  
Sound Fields ◽  
Aerial Vehicle ◽  
Wind Profiles ◽  
Virtual Temperature

<p><strong>Abstract.</strong> An acoustic signature generated by an unmanned aerial vehicle is used in conjunction with tomography to remotely sense temperature and wind profiles within a volume of atmosphere up to an altitude of 120&amp;thinsp;m and over an area of 300&amp;thinsp;m&amp;thinsp;&amp;times;&amp;thinsp;300&amp;thinsp;m. Sound fields recorded onboard the aircraft and by an array of microphones on the ground are compared and converted to sound speed estimates for the ray paths intersecting the intervening medium. Tomographic inversion is then used to transform these sound speed values into three-dimensional profiles of virtual temperature and wind velocity, which enables the atmosphere to be visualised and monitored over time. The wind and temperature estimates obtained using this method are compared to independent measurements taken by a co-located mid-range ZephIR LIDAR and sensors onboard the aircraft. These comparisons show correspondences to better than 0.5&amp;thinsp;&amp;deg;C and 0.3&amp;thinsp;m/s for temperature and wind velocity, respectively.</p>

Optimized artificial potential field algorithm to multi-unmanned aerial vehicle coordinated trajectory planning and collision avoidance in three-dimensional environment

2019 ◽  
Vol 233 (16) ◽  
pp. 6032-6043 ◽  
Author(s):  
Jun Tang ◽  
Jiayi Sun ◽  
Cong Lu ◽  
Songyang Lao
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Collision Avoidance ◽  
Unmanned Aerial Vehicle ◽  
Trajectory Planning ◽  
Potential Field ◽  
Three Dimensional ◽  
Artificial Potential Field ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
Vehicle Trajectory

Multi-unmanned aerial vehicle trajectory planning is one of the most complex global optimum problems in multi-unmanned aerial vehicle coordinated control. Results of recent research works on trajectory planning reveal persisting theoretical and practical problems. To mitigate them, this paper proposes a novel optimized artificial potential field algorithm for multi-unmanned aerial vehicle operations in a three-dimensional dynamic space. For all purposes, this study considers the unmanned aerial vehicles and obstacles as spheres and cylinders with negative electricity, respectively, while the targets are considered spheres with positive electricity. However, the conventional artificial potential field algorithm is restricted to a single unmanned aerial vehicle trajectory planning in two-dimensional space and usually fails to ensure collision avoidance. To deal with this challenge, we propose a method with a distance factor and jump strategy to resolve common problems such as unreachable targets and ensure that the unmanned aerial vehicle does not collide into the obstacles. The method takes companion unmanned aerial vehicles as the dynamic obstacles to realize collaborative trajectory planning. Besides, the method solves jitter problems using the dynamic step adjustment method and climb strategy. It is validated in quantitative test simulation models and reasonable results are generated for a three-dimensional simulated urban environment.

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